Mendeley Data Showcase

Eligible patients diagnosed with acute ischemic stroke, presenting within a time window of 24 hours to 7 days from symptom onset, will be enrolled and randomly assigned into two parallel groups in a 1:1 ratio. The diagnosis of ischemic stroke was made based on physical examination and confirmed by a non-contrast head CT scan performed by a neurologist. One group will receive oral DLBS1033 (490 mg, DISOLF film-coated tablet, Dexa Medica, 2 tab t.i.d.), while the other will receive a matching placebo. Both interventions will be administered alongside standard stroke treatment protocols for a duration of 28 days. Randomization will be stratified to ensure balanced baseline characteristics between groups. Random allocation sequences were prepared by independent team and secured in sealed envelope. Each treatment package was pre-labeled with a unique subject identification number that corresponded to the assigned number in the randomization sequence. Upon enrollment, eligible participants received the treatment package that matched their assigned number. Throughout the study, several key parameters will be assessed to evaluate the efficacy and safety of DLBS1033 as an adjunctive therapy. These include inflammatory biomarkers, such as serum levels of interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), matrix metalloproteinase-9 (MMP-9), and D-dimer, which will be measured using validated immunoassay methods. In addition, cerebral hemodynamic status will be evaluated through Transcranial Doppler (TCD) ultrasonography to assess Pulsatility Index (PI), and carotid intima-media thickness (CIMT) will be measured via B-mode ultrasonography to examine vascular structural changes. To evaluate clinical outcomes, the National Institutes of Health Stroke Scale (NIHSS) will be used to assess neurological deficits, and the Barthel Index will be used to evaluate functional independence in daily activities. All assessments, including laboratory biomarker tests, TCD and CIMT measurements, and clinical outcome scoring, will be conducted at three key time points: baseline, day 14, and day 28 post-initiation of therapy.

Government agencies rely on vendors to buy the goods and services they need to operate and fulfill their missions, competitively awarding contracts through a competitive bidding process governed by law. State and local agencies offer preferences to small disadvantaged businesses in an aim to level the playing field so they can effectively compete against other. Many times, better situated and larger, more established companies have a greater competitive advantage. Such programs are offshoots of the affirmative action initiatives begun under President Johnson in the mid-late 1960s. Little study has been conducted in this area, and large research gaps exist. In Texas, such a preference is given through the Historically Underutilized Business program, where 35 percent of everything the State buys must be awarded to businesses owned by minorities, women and service-disabled veterans first. Despite Texas’ claim of being pro-business and being a champion for small businesses, annual reports consistently show the program as significantly underutilized by over 15 percent the past 34 years since it started. Of the 3.5 million small businesses in the state, fewer than 17,000 are certified. Using a qualitative design grounded in a hybrid conceptual model, with a focus on the Diffusion of Innovations Theory and Theory of Planned Behavior, this study attempts to better understand the phenomenon of why most qualified small businesses do not pursue Texas HUB certification. It gathers input from disadvantaged owners by questionnaire to solicit feedback, identify root causes of non‑participation and develop an action plan of recommendations, offering State officials a framework for policy improvement. To achieve parity in public procurement, the State needs to do more work in ensuring these preference-driven programs represent the very groups it hopes to help more significantly.

Although it is generally accepted today that climate and other environmental factors can affect human societies at different spatiotemporal scales, direct linkages are difficult to determine, and correlation should not be confused with causation. Here, we use a tree-ring width network of multi-millennial chronologies from inner Eurasia to reconstruct annual changes in Net Primary Productivity (NPP) back to 200 BCE. Our findings reveal that episodes of diminished NPP around the 70s–100s CE, 360s–380s CE, and 470s–560s CE likely contributed to the westward and southward migration of nomadic people from their homelands in northwestern China and Mongolia. Although prolonged multi-decadal periods of climate-induced low NPP served as tipping points for agricultural and pastoral subsistence systems, the inherent mobility of nomadic communities not only enabled them to adapt to adverse environmental conditions but also facilitated a widespread dispersal of ethnic groups.

d nanocomposites (Si–SA NCS), can alleviate lead (Pb) toxicity in Italian basil (Ocimum basilicum L.) by improving growth, physiological status, mineral balance, antioxidant activity, and essential oil quality. It was further hypothesized that the combined Si–SA treatment would be more effective than individual applications under Pb stress. The dataset was obtained from a controlled greenhouse pot experiment with a factorial design including two Pb levels (with and without Pb stress) and four treatments: control, silicon (Si), salicylic acid (SA), and Si–SA nanocomposites. Soil physicochemical properties were analyzed prior to planting. Morphological traits (plant height, root length, leaf number, and leaf area), biomass production (fresh and dry weights of roots, stems, leaves, and whole plant), and physiological indices (specific leaf area, specific leaf weight, relative water content, and membrane stability index) were measured using standard methods. The dataset also includes measurements of photosynthetic pigments, mineral accumulation (Pb, Si, Ca, and K), antioxidant enzyme activities (GPOX, PPO, CAT, and APX), and bioactive compounds (phenolics, flavonoids, DPPH radical scavenging activity, essential oil content, and yield). Essential oil composition was determined by GC–MS analysis. Physicochemical characterization of the synthesized Si–SA nanocomposites was performed using zeta potential, DLS, FTIR, and TEM analyses. Data were statistically analyzed using analysis of variance (ANOVA) followed by Duncan’s multiple range test, and multivariate analyses (PCA and correlation heatmap) were used to interpret relationships among traits. The dataset demonstrates that Pb stress negatively affects growth and physiological performance, while Si and SA treatments—especially Si–SA nanocomposites—significantly mitigate Pb-induced damage. The data can be used to interpret stress-alleviation mechanisms and for comparative or meta-analytical studies.

This paper introduces a formal generalization of the classical New tonian derivative by incorporating an auxiliary mapping function, ϵ(x), to redefine the limit-based difference quotient. While traditional calculus evaluates rates of change over a linear identity domain, the proposed General Derivative characterizes the sensitivity of a function f relative to a non-linear transformation of its independent variable. We establish the theoretical framework for this operator and demon strate that the standard derivative emerges as a specific realization where ϵ is the identity mapping. Furthermore, through various com plex transcendental cases, we show that this formulation effectively decouples functional complexity from domain geometry. The study concludes by discussing potential extensions into functional analysis, specifically regarding Fr´echet and Gˆateaux differentiability.

This dataset contains the raw clinical and laboratory data used in the analysis of elderly patients with community-acquired pneumonia (CAP). The data include demographic characteristics, clinical classification (severe and non-severe CAP), and laboratory measurements obtained at hospital admission, including plasma cell-free DNA (cfDNA) levels and conventional inflammatory biomarkers such as C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and neutrophil-to-lymphocyte ratio (NLR). All data were anonymized prior to upload and were used to evaluate the association between cfDNA levels, inflammatory responses, and disease severity in elderly patients with CAP.

Dataset composition 5,778 — Non-SMOTE-NC (raw) Original tabular hematology dataset (routine analyzer parameters) with four-class labels (Class 0–3; target emphasis on Class 2 = Hb E trait ± α-thalassemia). No resampling, no scaling. Intended for the non-SMOTE pipeline and baseline descriptive statistics. 5,778 — Non-SMOTE-NC — Z-score Same records as (1), with all model features standardized to Z-scores. No class rebalancing. Used for ReliefF ranking, model fitting, and internal testing in the non-SMOTE scenario. 20,000 — SMOTE-NC (raw) Class-rebalanced cohort generated from the 5,778-record source using SMOTE-NC to upsample minority classes while preserving categorical structure. Values remain on the original (unscaled) measurement units. Used for training/validation in the SMOTE-NC scenario. 20,000 — SMOTE-NC — Z-score Z-score–standardized version of (3) for model development in the SMOTE-NC pipeline (feature selection, tuning, and internal testing). 625 — External data — Z-score Independent cohort prepared for model inference with standardized (Z-score) features. Used exclusively for external validation of the final models. 625 — External data (raw) Raw (unscaled) version of the same independent cohort in (5). Retained for auditing, sensitivity checks, and any site-specific recalibration. Notes: All tabular sets contain identical label definitions (Class 0 = normal/non-clinically significant, Class 1 = normal Hb typing ± possible α-thal, Class 2 = Hb E trait ± α-thal, Class 3 = other thalassemic patterns). Z-score versions provide standardized features for ReliefF selection and model input; raw versions support QC and re-scaling if needed. SMOTE-NC sets are for training/validation only; performance is reported on held-out internal tests and on the external cohort (n = 625).

This repository provides the datasets used in the paper “Digital Trade and Urban Economic Resilience: Evidence from China’s E-Commerce Policy.” The data support the empirical analysis of how cross-border e-commerce (CBEC) development affects urban economic resilience in China, exploiting the establishment of Cross-Border E-Commerce Comprehensive Pilot Zones as a quasi-natural experiment. The compiled dataset forms a balanced panel of 282 Chinese prefecture-level cities spanning the period 2009–2022, and is designed to facilitate replication, robustness checks, and further extensions of the study.

This dataset includes all the raw data (soil physical and chemical properties, organic carbon contents in soil organic matter fractions, results of pyrolysis-GC/MS) involved in the research paper.

This replication package provides all publicly available code, documentation, and a synthetic dataset designed to reproduce the full computational workflow of the study, including data preparation, variable construction, model estimation procedures, and output generation. The package aims to ensure transparency and enable independent verification of the empirical methodology and analytical procedures. Due to strict data access and disclosure restrictions imposed by the project funding agency, we provide a reduced synthetic dataset. For variables that cannot be disclosed, values are randomly generated within the minimum and maximum ranges of the original data while preserving the same variable names and overall data structure. These synthetic data are intended to illustrate the empirical workflow and code execution, and to allow users to run the master replication script (readme.do) end-to-end with minimal effort. The synthetic dataset is provided solely for methodological demonstration purposes and is not intended to reproduce the numerical results reported in the paper. Researchers interested in replicating the study using the original data are encouraged to obtain access directly from the relevant data providers.