bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of environmental carrying capacity based on land capability for agriculture development in the Melolo Transmigration Area, East Sumba
Authors: Rojikhah Afifatur , Leksono Amin Setyo , Rachmansyah Arief 
Published: September 2023

Abstract
One way to do equitable development is to grow activity centers in an area. Transmigration is one of the government programs implemented to foster new activity centers in less developed areas. At present, Development Area Unit B of the Melolo Transmigration Area is a development priority to grow the area in the central part of East Sumba. The construction of transmigration settlements has been carried out since 2010 for settlement and agriculture, so it is necessary to evaluate the environmental carrying capacity to determine the suitability of land cover and land use to land capability. The method used is to compare land capability with land cover and land use and then assess its suitability. Based on the results of the analysis it is known that land capability in Development Area Unit B Melolo Transmigration Area is divided into four land capability classes, namely land capability classes I, II, III, and IV. Comparison of land capability with land cover and land use are included in the suitable criteria of 72.60 %, conditionally suitable at 23.11 %, and not suitable at 4.30 %. These results indicate that the environmental carrying capacity has not exceeded the threshold and requires conservation measures for agricultural development.
Mel-frequency cepstral and spectral flux analysis of the acoustic signal for real-time status monitoring of laser cleaning
Authors: Aleem S A A , Yusof M F M , Quazi M , Halil M A , Ishak M 
Published: September 2023

Abstract
Due to the fact that the laser-based cleaning process is quick, efficient, and environmentally friendly, it has been utilized in a various industry, which has increased the number of studies pertaining to this process. In addition to process optimization, the real-time monitoring system was essential in preventing the overexposure of the laser beam to the cleansed surface, which would result in an engraving effect. This article demonstrated the analysis of the acquired sound signal to identify an overexposed laser beam during laser cleaning. In order to accomplish the aim of this work, the corroded boron steel plate was prepared. The laser cleaning procedure involved a four-loop laser scan. Variable scanning speeds between 100 and 1,000 mm s−1 were configured. Concurrently, the acoustic signal within the frequency range of 20 Hz to 10 kHz was acquired. The results indicate that the process with a scanning speed of 1000 mm s−1 recorded the clear surface without morphological change on the cleaned area, whereas an unacceptable deep gouge was formed during the second and third loops of the process with speeds of 100 mm s−1 and 300 mm s−1, respectively. According to an analysis of the acquired sound signal, the trend of the Mel Frequency Cepstral Coefficient (MFCC) was indicative of the existence of the ablated corroded substrate. In addition, the spectral flux can provide important information regarding the formation of a deep groove on a cleansed surface. This research demonstrates the feasibility of using the auditory signal to monitor the laser cleaning process. By characterizing the acoustic signal feature, it is possible to detect the completion of the cleaning process before the morphological change of the cleaned area existed. With further development, it was possible that this method would become the most efficient, resilient, and demanding in the future.
Non-aldehyde resins based on resorcinol and natural alkylresorcinols modified with styrene
Authors: Jurkeviciute Ana , Grigorieva Larisa , Tõnsuaadu Kaia , Yashicheva Tamara , Bondarev Dmitrij 
Published: September 2023

Abstract
The use of natural alkylresorcinols produced in Estonia (5-methylresorcinol, HONEYOL80 fraction) instead of the expensive resorcinol reduces the cost of the synthesized resins while maintaining their high technological characteristics. Resins based on resorcinol (R), 5-methylresorcinol (5-MR), HONEYOL80, dicyclopentadiene (DCPD), and styrene (S) were synthesized in the presence of an acid catalyst. Their physical and chemical characteristics have also been studied. It was shown that depending on the mole ratio of the components of the formulation, resins with different softening temperatures (66 to 97 °C), ash content of 0.04 to 0.39 wt%, and a low content of volatile components at 105 °C, including moisture, were obtained. The best conditions for the synthesis of resins with a softening point of 94 °C–97 °C are molar ratio of R (5-MR): DCPD: S = 1: 0.5: 0.3 at temperature 135 °C–170 °C, synthesis time 5 h 30 min. The synthesized resins did not require additional processing under a vacuum. The presence of unreacted resorcinol and 5-methylresorcinol (quantitatively and qualitatively) in the final product, the homogeneity, and molecular weight characteristics of the resin composition (qualitatively) were determined by TLC and GPC.
National Hospital and Health-System Controlled Substances Drug Diversion Prevention & Surveillance Program Assessment Survey — 2021
Authors: Fortier Christopher R 
Published: September 2023

Abstract

Purpose
To present and discuss the results of the National Hospital and Health-System Controlled Substances Drug Diversion Prevention & Surveillance Program Assessment Survey.

Methods
The survey was emailed to 1,529 chief pharmacy officers utilizing the list of directors of pharmacy from the American Society of Health-System Pharmacists. The survey opened September 15, 2021, and closed October 4, 2021. Forty-nine questions were included in 5 different sections, and participants were also given the option to respond to 39 additional questions.

Results
The survey response rate was 12.75%, with the results showing consistencies in practice around drug security and human resource management. Sixty-two percent of sites had a formalized drug diversion committee, half of which had been implemented since 2018. Adoption of electronic controlled substance systems continues to increase, with 50% of sites having implemented such a system in the previous 3 years. At the time of the survey, 18% of organizations did not have an electronic system, but 90% of sites had implemented or intended to implement one by 2023. Over 40% of sites that utilized an electronic system were looking to upgrade to a next-generation system. Most organizations had 0.5 to 1 full-time equivalent dedicated to diversion prevention, and two-thirds of sites had a formalized diversion committee. The majority of sites defined “significant loss” by utilizing professional judgement, based on the scenario, as a percentage of inventory or as a range of units. Community practice consensus is needed around auditing adjustments to controlled substance inventory and for perpetual inventory processes. Respondents reported 1 to 2 (29%), 3 to 5 (26%), and more than 10 (26%) formal drug diversion investigations annually.

Conclusion
This first-time survey provided significant insight into the realities of drug diversion prevention practices in hospitals and health systems nationally.
A cell-level discriminative neural network model for diagnosis of blood cancers
Authors: Robles Edgar E , Jin Ye , Smyth Padhraic , Scheuermann Richard H , Bui Jack D , Wang Huan-You , Oak Jean , Qian Yu 
Published: September 2023

Abstract

Motivation
Precise identification of cancer cells in patient samples is essential for accurate diagnosis and clinical monitoring but has been a significant challenge in machine learning approaches for cancer precision medicine. In most scenarios, training data are only available with disease annotation at the subject or sample level. Traditional approaches separate the classification process into multiple steps that are optimized independently. Recent methods either focus on predicting sample-level diagnosis without identifying individual pathologic cells or are less effective for identifying heterogeneous cancer cell phenotypes.

Results
We developed a generalized end-to-end differentiable model, the Cell Scoring Neural Network (CSNN), which takes sample-level training data and predicts the diagnosis of the testing samples and the identity of the diagnostic cells in the sample, simultaneously. The cell-level density differences between samples are linked to the sample diagnosis, which allows the probabilities of individual cells being diagnostic to be calculated using backpropagation. We applied CSNN to two independent clinical flow cytometry datasets for leukemia diagnosis. In both qualitative and quantitative assessments, CSNN outperformed preexisting neural network modeling approaches for both cancer diagnosis and cell-level classification. Post hoc decision trees and 2D dot plots were generated for interpretation of the identified cancer cells, showing that the identified cell phenotypes match the cancer endotypes observed clinically in patient cohorts. Independent data clustering analysis confirmed the identified cancer cell populations.

Availability and implementation
The source code of CSNN and datasets used in the experiments are publicly available on GitHub (http://github.com/erobl/csnn). Raw FCS files can be downloaded from FlowRepository (ID: FR-FCM-Z6YK).
Envisioning Social Justice With Criminalized Young Adults
Authors: Weaver Beth , McCulloch Trish , Vaswani Nina 
Published: September 2023

Abstract
Rather than attending to the social harms underpinning youth offending, justice responses tend to amplify and entrench them. While perhaps less noticeable, inequalities further reside in the systematic disparities in criminalized young adults’ opportunities to influence policy and practice and to have control of the choices concerning their present and their future. Resultantly, perhaps, there is a significant disconnect between policy and practice directed towards this group, their lived realities and developmentally specific needs. This article reports on a design-led, participatory study involving 12 criminalized young adults, aged 18–25, oriented to listening to, and learning from, their experiences and visions of social justice in order to influence more socially just responses to offending than we have at present.
Enhancing Chromatographic Analysis: A Novel Cryo-Enrichment Module for GC Analysis of Terpenes in Cannabis sativa
Authors: Sadaunykas Audrius , Zolumskis Audrius , Balčiūnas Simonas , Naujalis Evaldas 
Published: September 2023

Abstract
This study presents the development and validation of a gas chromatography (GC) method using cryo-enrichment for the analysis of α-pinene and β-caryophyllene in Cannabis sativa plant. Cryo-enrichment is a method that involves cooling part of the GC column to improve some aspect of chromatographic analysis. The aim of this study was to improve upon previous GC cryo-enrichment prototype and to create and validate a method for the analysis of these terpene compounds, which have received increasing attention for their medicinal properties. The improved cryo-enrichment device used in this study was built in-house and used a custom-built aluminum GC column holder cooled by a two-stage cryo-cooler. The validated method was found to be precise, accurate and sensitive, with good repeatability.
Diverse QRS morphology reflecting variations in lead placement for left bundle branch area pacing
Authors: Sato Toshiaki , Togashi Ikuko , Ikewaki Hirotsugu , Mohri Takato , Katsume Yumi , Tashiro Mika , Nonoguchi Noriko , Hoshida Kyoko , Ueda Akiko , Matsuo Seiichiro , Soejima Kyoko 
Published: September 2023

Abstract

Aims
Left bundle branch area pacing (LBBAP) is a potential alternative to His bundle pacing. This study aimed to investigate the impact of different septal locations of pacing leads on the diversity of QRS morphology during non-selective LBBAP.

Methods and results
Non-selective LBBAP and left ventricular septal pacing (LVSP) were achieved in 50 and 21 patients with atrioventricular block, respectively. The electrophysiological properties of LBBAP and their relationship with the lead location were investigated. QRS morphology and axis showed broad variations during LBBAP. Echocardiography demonstrated a widespread distribution of LBBAP leads in the septum. During non-selective LBBAP, the qR-wave in lead V1 indicated that the primary location for pacing lead was the inferior septum (93%). The non-selective LBBAP lead was deployed deeper than the LVSP lead in the inferior septum. The Qr-wave in lead V1 with the inferior axis in aVF suggested pacing lead placement in the anterior septum. The penetration depth of the non-selective LBBAP lead in the anterior septum was significantly shallower than that in the inferior septum (72 ± 11 and 87 ± 8%, respectively). In lead V6, the deep S-wave indicated the time lag between the R-wave peak and the latest ventricular activation in the coronary sinus trunk, with pacemaker leads deployed closer to the left ventricular apex.

Conclusion
Different QRS morphologies and axes were linked to the location of the non-selective LBBAP lead in the septum. Various lead deployments are feasible for LBBAP, allowing diversity in the conduction system capture in patients with atrioventricular block.
Using Community-Based Participatory Research to Develop Care Recommendations for People Aging With HIV
Authors: Brown Maria T , Wikiera John , Albarran Marz , Partap Angie , Ahmed Courtney , Brock Victoria , Beard Sheriden , Siegler Eugenia L 
Published: September 2023

Abstract

Background and Objectives
Over 50% of New Yorkers living with human immunodeficiency virus (HIV) are 50 years old or older, and the emotional and physical consequences of being a long-term survivor are significant. This study aimed to identify the practical needs of long-term survivors and older people with HIV (consumers) in New York State and develop recommendations addressing those needs.

Research Design and Methods
The HIV + Aging/LTS/Perinatally Diagnosed Subcommittee of the Consumer Advisory and Quality Advisory committees in the New York State AIDS Institute used community-based participatory research (CBPR) methods to design a statewide survey about the care needs of consumers in New York State. This survey, open to consumers, clinicians, and supportive services providers, was launched in June 2021 using Qualtrics. Participants provided demographic data and chose the 3 most important barriers and recommendations from each of 10 categories of issues affecting health care and supportive services. Consumers provided information about their HIV diagnosis and other health conditions. Responses were characterized using basic descriptive statistics.

Results
Participants included 124 consumers from 26 counties, 20 clinicians, and 24 supportive service providers. Among consumers, 67% were cisgender men, 27% were African American, and 65% were both long-term survivors and older people with HIV. On average consumers had been diagnosed with HIV for 27 years. Participants were concerned with clinical care coordination, housing needs, cultural representation in mental health services, and financial support of consumers.

Discussion and Implications
CBPR is an effective approach to developing consumer-generated recommendations to improve HIV care for long-term survivors and older people with HIV. Town hall formats informed survey design, enabled broad coverage of topics, and ensured that focus remained on priorities most important to consumers. The first quality initiative arising from the study was a routine screening of long-term survivors of HIV to identify functional decline and enhance referral pathways and care linkages.
Messaging Soleimani's killing: the communication vulnerabilities of authoritarian states
Authors: Selvik Kjetil , Ranji Banafsheh 
Published: September 2023

Abstract
The capacity of authoritarian states to manipulate narratives and undermine the authority of western democracies is increasingly emphasized in International Relations research. Far less scrutiny has been paid to the ways in which the media environment creates communication vulnerabilities for these same repressive states. We address this research gap through a case-study of Persian-language commentary on the targeted assassination of Qasem Soleimani—a crescendo in the conflict between Iran and the United States. We examine how commentators on the two popular satellite channels interpreted Soleimani's killing and subsequent developments, and specifically, whether they rallied around the Iranian flag. The research method employed is qualitative media content analysis. The investigation reveals that the Islamic Republic did not benefit from a significant surge in patriotism among Iranian commentators; in fact, some openly applauded the attack. It was only when President Trump threatened to bomb Iranian cultural sites that the commentators rallied around the flag. The Islamic Republic faced a two-front narrative battle as communication attacks from within the national community intensified the information war with the US. The article concludes that authoritarian states are at a disadvantage when they require communication strategies beyond disinformation and distortion.
Competition and price dispersion: evidence from airline and high-speed rail competition in China
Authors: Du Zaichao , Li Han , Wei Feng , Zhang Lan 
Published: September 2023

Abstract
The introduction of the Beijing–Shanghai high-speed rail (Launch) and the Wenzhou bullet-train collision (Crash) in China provided a unique occasion to study the effect of competition on price dispersion. Results show that price dispersion increased by about 48% after the Launch, as airlines offered greater discounts to price-elastic consumers than to price-inelastic consumers. By contrast, price dispersion decreased by about 55% after the Crash, as airlines raised prices more for price-elastic consumers than for price-inelastic consumers.
Dictionary Use by Trainee Translators
Authors: Buendía-Castro Míriam 
Published: September 2023

Abstract
Dictionaries have always been an important tool for linguists, and more specifically for translators. Learning how students of translation use dictionaries is essential if students are to be effective users of dictionaries. This research examines the dictionary usage habits of 201 trainee translators and identified significant differences among first-, second-, third- and fourth-year students. The resources that students most often consulted, based on their first L2, were also specified. A self-reported questionnaire was devised to collect data. The results revealed that the use of monolingual and specialized resources tended to be higher in the last years of the degree program. The students’ lack of awareness and infrequent use of specialized resources were also reflected in the study. Generally speaking, our results showed that students did not take advantage of the wide variety of resources available.
Ensemble of best linear unbiased predictor, machine learning and deep learning models predict maize yield better than each model alone
Authors: Kick Daniel R , Washburn Jacob D 
Published: September 2023

Abstract
Predicting phenotypes accurately from genomic, environment and management factors is key to accelerating the development of novel cultivars with desirable traits. Inclusion of management and environmental factors enables in silico studies to predict the effect of specific management interventions or future climates. Despite the value such models would confer, much work remains to improve the accuracy of phenotypic predictions. Rather than advocate for a single specific modelling strategy, here we demonstrate within large multi-environment and multi-genotype maize trials that combining predictions from disparate models using simple ensemble approaches most often results in better accuracy than using any one of the models on their own. We investigated various ensemble combinations of different model types, model numbers and model weighting schemes to determine the accuracy of each. We find that ensembling generally improves performance even when combining only two models. The number and type of models included alter accuracy with improvements diminishing as the number of models included increases. Using a genetic algorithm to optimize ensemble composition reveals that, when weighted by the inverse of each model’s expected error, a combination of best linear unbiased predictor, linear fixed effects, deep learning, random forest and support vector regression models performed best on this dataset.
Maximizing Microsampling: Measurement of Comprehensive Metabolic and Lipid Panels Using a Novel Capillary Blood Collection Device
Authors: Collier Bradley B , Brandon Whitney C , Chappell Matthew R , Kovach Peyton M , Grant Russell P 
Published: September 2023

Abstract

Background
Demand continues to grow for patient-centric sampling solutions that enable collection of small volumes of blood outside of healthcare facilities. Various technologies have been developed to facilitate sample collection but gaps in knowledge remain, preventing these technologies from replacing standard venipuncture.

Methods
A novel blood collection device, Touch Activated Phlebotomy (TAP) II® from YourBio Health, and standard fingerstick collection using a BD Microtainer® were utilized to collect capillary serum samples. Measurements of a comprehensive metabolic and lipid panels were measured on these samples and compared to results from venous serum samples that were collected in parallel. Hemolysis was used to assess sample quality. Sample volumes obtained from self-collected TAP II samples were also determined.

Results
Correlation of capillary serum with respect to venous serum was demonstrated (R &gt; 0.9) for professionally collected TAP II samples, self-collected TAP II samples, and professionally collected fingerstick samples for alkaline phosphatase, alanine aminotransferase, aspartate aminotransferase, blood urea nitrogen, cholesterol, high-density lipoprotein, total bilirubin, and triglycerides. Results for creatinine demonstrated acceptable correlation, however, a consistent negative bias was observed. Biases (with unacceptable correlations) were also observed for measurements of carbon dioxide and potassium. Correlative results for albumin were not consistently acceptable across the collection techniques utilized while the remaining analytes tested did not demonstrate acceptable correlations under any condition. Correlation results, however, would improve with a wider distribution of analyte concentrations.

Conclusions
Collections of small volumes of liquid blood continue to show potential as a patient-centric solution.