bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sleep Deprivation Increases Belief Change and Suppresses Confirmation Bias in Decision Tasks
Authors: Anckaert Charlotte , Peigneux Philippe , Gevers Wim 
Published: October 2024

Abstract

Belief updating, the process of revising one’s beliefs in light of new information, is subject to confirmation bias - the tendency to prioritize information that supports existing beliefs. How this process is affected by sleep deprivation (SD), which is known to impair cognitive function, remains underexplored. Here, we examined how SD alters belief change and confirmation bias in response to peer advice during a decision-making task. Across two studies, we found that SD substantially increased the likelihood of belief changes, with participants being more likely to change their beliefs following SD compared to after a full night of sleep. Even after SD, beliefs were still changed using logical reasoning, as participants continued to consider their initial confidence. At the same time, SD eliminated confirmation bias. Indeed, the typical confirmation bias asymmetry (i.e., a stronger increase in confidence when in agreement compared to a smaller drop in confidence when in disagreement) was no longer observed under SD. Our findings suggest that sleep loss undermines belief stability and dampens the cognitive biases that typically reinforce belief consistency. As a result, SD contexts may exert a significant impact on decision making processes, eventually leading to deleterious consequences in high stake situations.
Cost-effective non-revenue water reduction: analysis through pilot activities in Kigali City, Rwanda
Authors: Ogata Ryuji , Tsutsui Nobuyuki , Bahige Jean Berchmans , Murakami Shin 
Published: October 2024

ABSTRACT
Non-revenue water (NRW) is a major problem for water utilities, and its reduction has become an important challenge in ensuring a sustainable water supply. However, a lack of clarity regarding the cost–benefit analysis of investment in pilot activities to reduce NRW may hinder further investment in such projects. Thus, we attempted to identify strategies for effective NRW reduction and establish a method for estimating their cost-effectiveness. To this end, a project to strengthen the NRW management capacity and build a sustainable NRW reduction system was implemented in Kigali City, Rwanda, between 2016 and 2021. The project included four objectives: enhancement of the planning capacity for NRW reduction; acquisition of basic knowledge, skills, and techniques for NRW control; enhancement of staff capacity to execute NRW reduction measures; and establishment of a system to accurately measure NRW ratios. The project helped to formulate a 5-year plan for NRW reduction and 596 employees of Kigali City were trained for the same. The NRW ratios were reduced by 10 and 12% in the two pilot areas of the city. Cost–benefit analysis revealed the effectiveness of the investment in NRW reduction activities over time.
A new virtual water qualimeter with a changeable broken linear pointer based on a quadrant circular constellation graph
Authors: Yang Won-Chol , Ri Jae-Bok , Om Myong-Song , Kim Un-Ha , Ri Wi-Song , Sok Sun-Hak 
Published: October 2024

ABSTRACT

As water is a very important natural resource for humans and its quality is closely related to human health, water quality evaluation (WQE) is very important for the protection of human health, livelihoods, environment, and management of water. Although various WQE methods have been developed and used, a common drawback is that the methods lack visualization of the WQE results and require additional complicated graphical techniques. The Pointer meter is an analogue measuring device with a pointer indicating the measured value with its location. A constellation graph (CG) enables to map multi-dimensional data on a two-dimensional plane. By introducing the pointer meter and CG for WQE, this paper proposes a new visualized pointer meter-type virtual water qualimeter (VWQ-meter) based on a quadrant circular constellation graph (QCCG). It has a changeable broken linear pointer with variable lengths and shapes, while the traditional pointer meters have straight-line pointers with a fixed length and a straight-line shape. It evaluates the water quality not only quantitatively but also intuitively. To demonstrate its effectiveness, it is applied to one example of WQE. It could be widely applied to not only WQE but also various multi-criteria decision-making (MCDM) problems arising in water and wastewater treatment.
Riverine CH4 and CO2 emissions respond to associated agricultural land use and seasonality
Authors: Tang Jianfei , Chen Hao , Ye Jianfeng , Zhu Yi , Zhang Jinxu , Chen Yu , Ma Changwen 
Published: October 2024

ABSTRACT

Recently, agricultural land use has significantly impacted carbon emissions and water quality in adjacent rivers. This study examined the influence of land-use types and seasonality on carbon emissions from agriculture-impacted rivers in Shanghai. Our results showed that the crop farming land-use-associated river (AR) had CH4 and CO2 fluxes 2.68 and 3.47 times higher, respectively, than those in the aquaculture land-use-AR and 2.86 and 2.81 times higher than in the livestock and poultry breeding land-use-AR. Statistical analyses revealed that total nitrogen, ammonia nitrogen, and humification index were significantly correlated with crop farming land-use-AR carbon emissions. Conversely, no clear correlation was found between chemical factors and carbon fluxes in the aquaculture land-use-AR and livestock and poultry breeding land-use-AR due to the complexity of pollution sources. Seasonality significantly influenced CH4 and CO2 fluxes from agriculture-impacted rivers, with carbon fluxes in summer being 3.5 and 2.5 times higher than in winter, respectively. Crop farming land-use-AR carbon fluxes exhibited the highest variability under seasonal influences. This study emphasizes the need for policies to mitigate agricultural land use impacts on river carbon emissions.
Wuzi-Yanzong-Wan Prevents the Defect of Cell-Cell Junctions between Sertoli-Germ Cells by Up-Regulating the Expression of TAp73
Authors: Li Li , Pan Min , Liu Ziao , Zhao Hongsu , Xu Fengqing , Tong Xiaohui , Wang Yajuan , Chen Bin , Yu Lihua , Wang Tongsheng 
Published: October 2024

Background:
The TAp73 gene is an anti-cancer gene that also affects the junction between
Sertoli and germ cells. Inhibition of this gene causes infertility in male mice. Our previous
research proved that Wuzi-Yanzong-Wan (WZYZW) can protect spermatogenesis and maturation
by preventing TAp73 inhibition.

Objective:
This study aimed to investigate the effect of drug-containing serum of WZYZW on
the defect of cell-cell junctions in the Sertoli-germ cells co-culture system in vitro.

Methods:
LC-HRMS was used to analyze the content of active ingredients in WZYZWmedicated
serum. Then, primary extraction and co-culture of germ cells and Sertoli cells were
carried out. Co-cultured cells were added with PFT-α to induce the TAp73 inhibition model,
with WZYZW-medicated serum at 2.5%, 5%, and 10% treated in parallel. Sloughing of germ
cells from Sertoli cells was calculated. Transmission electron microscopy (TEM), Immunofluorescence,
qRT-PCR, and western blot methods were employed.

Results:
The drug-containing serum of WZYZW contained schisandrin, hyperoside, geniposidic
acid, ellagic acid, and quercetin. Using TEM assay, we observed restoration of the desmosomelike
(Des), tight junctions (TJ), and basal ectoplasmic specialization (ES) structure following
WZYZW treatment. WZYZW caused inhibition of peptidase and protease inhibitors (tissue inhibitor
of metalloproteinase-1 (TIMP1), Serpina3n) by immunofluorescence analysis. Western
blot and qRT-PCR analysis revealed that WZYZW was able to ameliorate the expressions of
peptidase and protease inhibitors and cell adhesion factors, such as TAp73, TIMP1, Serpina3n,
Desmocollin-3, N-cadherin, and Nectin-2.

Conclusion:
WZYZW-medicated serum could prevent the defect of cell-cell junctions between
Sertoli-germ cells co-culture system in vitro by up-regulating the expression of TAp73.
Synthesis, Docking Analysis, and Assessment of Chalcones for Antibacterial and Anthelmintic Activities
Authors: Agarwal Uma , Yadav Vivek , Roper Ruchi , Bhutani Rubina , Tonk Rajiv Kumar 
Published: October 2024

Background:
Chalcones have been demonstrated to possess numerous therapeutic
qualities in recent years, such as antibacterial, antiviral, anti-ulcerative, antioxidant, antiinflammatory,
antihyperglycemic, antimalarial, antitubercular, analgesic, antiplatelet, and
anticancer activities.

Objective:
To explore the synthesis, docking, and therapeutic characteristics of chalcones as
antibacterial and anthelmintic compounds.

Methods:
The chalcone derivatives (3a-3k) and (6l-6v) were synthesized via two selective different
reactions, based on the Claisen-Schmidt reaction. All synthesized compounds were evaluated for
their antibacterial activity using an in vitro cup-plate method, and their anthelmintic activity was
assessed using an in vitro earthworm paralysis and death assay. To validate these findings,
conducted molecular docking experiments between the dihydrofolate reductase receptor (PDB ID:
4LAE) and the synthesised compounds (3a-3k) and (6l-6v) to determine catalytic interactions

Results:
Compound 6(n) exhibited the greatest efficacy in biological in vitro activity against S.
aureus compared to all other compounds examined. Compound 6(o) exhibited substantial efficacy
against P. posthuma and E. coli. Emphasizing these findings, the compounds 3(a), 3(g), 3(i), 6(n),
and 6(o) demonstrated hydrogen bond interactions with certain amino acid residues of the receptor,
including THR 122, ASN 18, ASN19, GLN 96, SER 50, and ALA 8, during molecular docking.

Conclusion:
The study results showed that the synthesised derivative (E)-1-(napthalen-2-yl)-3-(4-
(trifluoromethoxy)phenyl)prop-2-en-1-one 6(n) had beneficial antibacterial properties against S.
aureus, while derivative (E)-1-(Napthalen-2-yl)-3-(4-trifluoromethyl)phenyl)prop-2-en-1-one 6(o)
exhibited antibacterial activity against E. coli and anthlelmintic activity against P. posthuma.
Cutting Edge Nanoplatforms with Smart Bio-sensing Applications: Paving the Way for Sustainable Green Approaches
Authors: Debnath Rabin , Singh Arshdeep , Saini Aniket , Seni Kushal , Sharma Anjali , Bisht Deepak Singh , Sharma Kalicharan , Goel Honey , Chawla Viney , Chawla Pooja A 
Published: October 2024

Abstract:
In the era of automation, sustainable technologies employing eco-friendly materials and
manufacturing techniques such as ‘Green nanobiosensors’ have taken centre stage, owing to their
opulent portfolio encompassing renewable fabrication and design from biomaterials, biocompatibility,
and ease of functionalization. Generally, sensors utilize nanomaterials sourced from renewable
resources or with minimal environmental impact, such as cellulose nanocrystals, chitosan,
and biopolymers, owing to their exceptional properties such as high surface area.
With the advent of environmentally conscious attributes in the cutting-edge nano biosensing technology,
green nano-biosensors offer innovative avenues for sensitive and selective detection and
monitoring of myriad analytes with minimal environmental repercussions. Further, such sensors
operate at low energy levels, contributing to reduced energy consumption, and can be mass-produced
with minimal environmental influence.
The present outlay of literature aims to decipher the utilization of eco-friendly materials and sustainable
manufacturing techniques in creating nano-biosensors and subsequently promulgating
their advantages in terms of energy efficiency, low environmental impact, and use of renewable resources.
Furthermore, this study embellishes a comprehensive framework that delineates the diverse
applications of these green nanobiosensors as eco-friendly technological solutions across diverse
sectors primarily agriculture, environmental monitoring, and biomedicine, showcasing their
potential to revolutionize these domains while minimizing environmental impact.
Qualitative Study of Utilization of Local Food for the Nutritional Needs of Stunted Children in Indonesia
Authors: Harahap Juliandi , Utami Tri Niswati , Eliska Eliska , Lubis Zulhaida , Sari Dina Keumala , Aprianti Lubis Nenni Dwi , Amelia Rina , Rohmawati Lili , Andayani Lita Sri , Aulia Destanul , Astuty Delfriana Ayu 
Published: October 2024

Introduction:
Stunting is a national problem in Indonesia due to an imbalance in children's nutritional intake. Diversity in balanced food consumption is one of the efforts to prevent stunting.

Objectives:
Exploring the potential of various types of food ingredients, utilization, equipment, capabilities, and expectations of the community in utilizing local food to fulfill stunting children's nutrition.

Methods:
Qualitative studies use a phenomenological approach. Research informants 15 people. Data were collected through Focus Group Discussion activities. ATLAS.Ti22 software is used to analyze data from focus group discussions.

Results:
It was found that the theme of ability and expectation has the highest co-occurrence value of 0.76, meaning that hope is very strongly related to the ability of the community. The theme of ability and availability of food ingredients has a co-occurrence value of 0.58, meaning that the ability to process local food ingredients is strongly related to the availability of food ingredients. Utilization and ability co-occurrence value of 0.16 means that the use of local food ingredients is weakly related to the ability to process food.

Conclusion:
Diversity in food consumption is related to food availability, utilization, and ability to process food. Suggestion: local food processing assistance is needed for the stunting target group to increase the community's ability to process local food. Inter-agency collaboration is needed in specific nutrition intervention programs by utilizing local food ingredients.
Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach
Authors: Thanh Phuc Phan , Nguyen Phung-Anh , Nguyen Nam Nhat , Hsu Min-Huei , Le Nguyen Quoc Khanh , Tran Quoc-Viet , Huang Chih-Wei , Yang Hsuan-Chia , Chen Cheng-Yu , Le Thi Anh Hoa , Le Minh Khoi , Nguyen Hoang Bac , Lu Christine Y , Hsu Jason C 
Published: October 2024

Background
The possible association between diabetes mellitus and dementia has raised concerns, given the observed coincidental occurrences.

Objective
This study aimed to develop a personalized predictive model, using artificial intelligence, to assess the 5-year and 10-year dementia risk among patients with type 2 diabetes mellitus (T2DM) who are prescribed antidiabetic medications.

Methods
This retrospective multicenter study used data from the Taipei Medical University Clinical Research Database, which comprises electronic medical records from 3 hospitals in Taiwan. This study applied 8 machine learning algorithms to develop prediction models, including logistic regression, linear discriminant analysis, gradient boosting machine, light gradient boosting machine, AdaBoost, random forest, extreme gradient boosting, and artificial neural network (ANN). These models incorporated a range of variables, encompassing patient characteristics, comorbidities, medication usage, laboratory results, and examination data.

Results
This study involved a cohort of 43,068 patients diagnosed with type 2 diabetes mellitus, which accounted for a total of 1,937,692 visits. For model development and validation, 1,300,829 visits were used, while an additional 636,863 visits were reserved for external testing. The area under the curve of the prediction models range from 0.67 for the logistic regression to 0.98 for the ANNs. Based on the external test results, the model built using the ANN algorithm had the best area under the curve (0.97 for 5-year follow-up period and 0.98 for 10-year follow-up period). Based on the best model (ANN), age, gender, triglyceride, hemoglobin A1c, antidiabetic agents, stroke history, and other long-term medications were the most important predictors.

Conclusions
We have successfully developed a novel, computer-aided, dementia risk prediction model that can facilitate the clinical diagnosis and management of patients prescribed with antidiabetic medications. However, further investigation is required to assess the model’s feasibility and external validity.
Research on Safety Management of University Laboratories Based on Isolation Forest Algorithm
Authors: Xue Junjie 
Published: October 2024

This paper mainly discusses the application of the Isolation Forest Algorithm in the safety management of university laboratories. Through the analysis of the current situation of safety management in university laboratories, the deficiencies of traditional management methods are expounded. Then, the principle and advantages of the Isolation Forest Algorithm are introduced in detail, and the effectiveness of this algorithm in the abnormal detection of laboratory safety is verified through experiments in a simulated laboratory environment. The experimental results show that the Isolation Forest Algorithm can quickly and accurately detect abnormal situations in the laboratory, providing a new and effective means for the safety management of university laboratories.
The Effect of Work Motivation, Work Stress and Work Environment on Employee Performance
Authors: Cahyo Kuncoroyekti Priagung Huda , Yuniawan Ahyar 
Published: October 2024

The development of well-structured and sustainable human resources is the primary need of an organization, so that a form of human resource management activities emerges where these activities are a forum for employee performance development which is a series of organizational activities that will be directed to attract, develop, and retain an effective workforce. This study aims to determine the influence of work motivation, work stress, and work environment on employee performance (study at Fancy Bakery). The population used in this study is all production employees in CV. Fancy Bakery which has 124 employees. In this study, a saturated sampling technique is used, namely a sampling technique where all members of the population are used as samples. Then the data collection method through questionnaires and data analysis uses SPSS version 24. The data analysis techniques used in this study include validity test, reliability test, classical assumption test, multiple regression analysis, hypothesis testing using t-test and determination coefficient test (R2). The results of this study show that independent variables, namely Work Motivation (X1), Work Stress (X2) and Work Environment (X3) have a positive and significant effect on Employee Performance (Y). Based on the determination coefficient of 57.3 percent, employee performance can be explained by independent variables in this study, while the remaining 42.7 percent is explained by variables that are not observed in this study.
Material Requirement Planning of Choco Roll Product with Least Total Cost (LTC) and Least Unit Cost (LUC) Method at PT. XYZ
Authors: Marbun Chandra Ericson , Ernawati Dira 
Published: October 2024

PT. XYZ is one of corporate company engaged in the snack industry. One of PT. XYZ fast moving product is Choco Roll. Choco Roll product have many forming raw material. There is around 20 raw material and packaging material to make 1 box of Choco Roll. Problem that aries at PT. XYZ is in the the supply of raw materials related to the scheduling of ordering raw materials. The company wants to store enough raw material inventory to be able to immediately fulfill all production processes, but this method is not effective and efficient because it will increase storage costs, expiration may occur, and there is a risk of price drops at any time. When a company wants to try to reduce costs by decrease the level of inventory of raw materials on hand, namely the inventory of raw materials that are already in the warehouse, but this condition will disrupt the production process if there are frequent shortages or stockouts of raw materials. Therefore to reduce the inventory cost, it needs to be make best planning in determining the number of ordered of raw material. The company must use a more scheduled raw requirements planning method to obtain a more optimal inventory cost. The purpose of this study is to determine the exact number quantity and order frequency to reduce inventory cost. This research uses lotting technique Least Total Cost (LTC) and Least Unit Cost (LUC) base on Material Requirement Planning (MRP) method. Based on the result of the Choco Roll demand from June 2022 to May 2023 obtained the total inventory cost of IDR 67,683.53 decrease by 25% to company real planning.
Interior Design Analysis Of Circulation Services In Increasing Visiting Interest In The Palembang Tourism Polytechnic Library
Authors: Amalia Laila Rizki , Amalia Laila Rizki 
Published: October 2024

This article discusses the effect of circulation services for library users at the Palembang Tourism Polytechnic Library. The purpose of this study was to determine the effect of circulation services at the Palembang Tourism Polytechnic Library, and also how effective circulation services at the Tourism Polytechnic Library are for users to borrow book collections in the library. Library circulation service itself is the activity of borrowing and returning book collections. This library circulation service depends on the policy of the library whether it is carried out for general borrowing or within the scope of the library itself. Library circulation services not only serve the borrowing and returning of library materials but comprehensive activities towards the process of meeting user needs through circulation services including return activities and extending the borrowing time of library materials. The research method of this article uses a qualitative descriptive type method. Qualitative descriptive research is research that describes the situation in fact as it is. The conclusion of this article is that spatial layout and circulation services are closely related because they can influence one another to create a comfortable and attractive library to visit.