bluuebunny/crossref_metadata_2025_split huggingface dataset:
Environmental and Socio-economic Impacts of River Sand and Gravel Mining: A Review
Authors: Mia Manirul Mia Manirul , Karikar Basir Ali Karikar Basir Ali , Mohibul Sk Mohibul Sk , Ali Mohammad Itahdur Ali Mohammad Itahdur , Khanam Nazreen Khanam Nazreen , Siddiqui Lubna Siddiqui Lubna 
Published: September 2024

Abstract

Sand and gravel mining is an extensive human activity that is vital to supplying the world's need for infrastructure development as well as construction. This review compiles recent studies on the environmental and socio-economic effects of this harmful practice. We followed the PRISMA guidelines for this study. In this review, the problems and effects of sand and gravel mining are properly highlighted using a Strength, Weakness, Opportunity, and Threat (SWOT) analysis. Studies from all around the world that present an overview of sand and gravel market, highlighting the main trends, production, export and import are included in this review. Riverbed morphological changes, habitat degradation, and alterations in aquatic biodiversity are among the physical and ecological effects examined. Hydrological effects include changes in river flow patterns, sedimentation, water quality deterioration, determined by a thorough assessment of the existing literature. Socio-economically, this practice can simultaneously offer and impede local economic advantages. Furthermore, the informal practices associated with sand and gravel mining can result in disputes, uncontrolled exploitation, and adverse socio-economic effects. At the end of this research, a series of suggestions for developing global agenda related to sustainable sand and gravel extraction.Through this review, we aspire to contribute to informed decision-making and the pursuit of sustainable practices that can mitigate the challenges posed by river sand and gravel mining while fostering a harmonious coexistence between human development and nature.
Analysis of the metabolic syndrome and comparison of 4 diagnostic and predictive indices in a population from northern Spain: a retrospective cohort study
Authors: Lupchian Liliana Bilbie , Oliván-Blázquez Bárbara , Peña-Galo Edgar , Domínguez-Garcia Marta , Sánchez-Calavera Mª Antonia 
Published: September 2024

Abstract

Background
Metabolic Syndrome (MetS) presents a significant public health challenge due to its increasing prevalence and association with cardiovascular risk. Efficient and early detection is crucial for effective management.
Objective
This study evaluates the effectiveness of the Visceral Adiposity Index (VAI) as a predictive tool for MetS, comparing it with traditional anthropometric indices within a representative Spanish cohort.
Methods
From the CRONAP cohort, which includes 732,585 patients, 3,107 individuals were selected based on available data necessary for calculating VAI and other indices. MetS was diagnosed using the NCEP-ATP III criteria. Analytical and demographic data were analyzed, and predictive capacities of VAI, waist circumference (WC), body mass index (BMI), and the atherogenic index (AI) were assessed through statistical analyses and ROC curve
Late onset cerebellar ataxia syndrome after non-paraneoplastic Lambert-Eaton Myasthenic Syndrome. A case study
Authors: Randall David P. , Randall Matthew 
Published: September 2024

Abstract

This is an unusual case of voltage gated calcium channel (VGCC) antibodies leading to two distinct and chronologically separated neurologic syndromes without the presence of an underlying neoplasm. Lambert Eaton Myasthenic Syndrome (LEMS) presented five years prior to cerebellar ataxia (CA). Both LEMS and CA were responsive to treatment, but not the same therapy. He was diagnosed with LEMS through history, exam, EMG/NCV w RNS and antibody testing. He was treated with 3,4 diaminopyridine (3,4 DAP) with an excellent response. Five years later, he developed acute ataxia. The patient required months of intensive and continued immunomodulating therapy.
In Vitro and In Vivo Evaluations of Loofah Micro- and PHBV Nano-Fiber Integrated Hydrogel Scaffolds for Meniscus Regeneration
Authors: Baysan Gizem , Akdogan Efe Kemal , Gunes Oylum Colpankan , Yilmaz Pinar Akokay , Ozenler Aylin Kara , Husemoglu R. Bugra , Perpelek Merve , Albayrak Aylin Ziylan , Ergur Bekir Ugur , Havitcioglu Hasan 
Published: September 2024

Abstract

Meniscus is a tissue that has vital properties for knee stabilization, shock absorption, axial load distribution, joint lubrication, and nutrition of articular cartilage. This study aims to produce loofah micro- and poly (3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) nano-fiber integrated collagen and chitosan polymer-based composite hydrogel scaffolds crosslinked with three different concentrations of genipin (0.1, 0.3, and 0.5%) for meniscus regeneration. The scaffold crosslinked with 0.3% genipin, which exhibites the highest compression strength with high water absorption and damping capacities, is chosen as the optimal scaffold for further in vitro and in vivo analyses. In vitro biocompatibility studies are conducted by using rabbit bone marrow-derived mesenchymal stem cells. Accordingly, the composite hydrogel scaffold is found to be non-toxic, and capable of promoting cell adhesion and proliferation as well as collagen immunopositive, especially for type II collagen. In vivo analysis is performed by using 24 adult male New Zealand rabbits in three groups (empty defect, cell-free and cell-laden implanted scaffolds) with a standardized meniscus regeneration model. In conclusion, the cell-laden scaffold implanted group shows better meniscal healing based on the post-implantation biomechanical, histological, immunohistochemical, and Micro-CT evaluations.
Drivers of Farmers to Adopt Environmental Technologies: Development of an Integrated Model
Authors: Far somayeh Tohidyan , Rezaei-Moghaddam Kurosh , koochak Saeed Shokri 
Published: September 2024

Abstract

The increasing demand for food owing to population growth, the increase in the number of starving people, the lack of resources, the lowering of the water table and environmental pollution have put great pressure on developing countries to solve this problem by introducing and accepting environmentally friendly technologies. The aim of this study is to determine the effective factors on the intention to adoption of elite farmers in Fars Province, Iran, towards smart farming technologies using an integrated model to create conditions for the adoption of these technologies. The study was conducted using a survey and multistage random sampling in the Fars Province, Iran. The sample included 172 elite farmers in Fars Province. The results show that perceived usefulness, attitude toward behavior, self-efficacy, and personal innovativeness play an important role in shaping the intention to adoption. The study emphasized that perceived ease of use, perceived advantages of smart farming, smart farming knowledge, and controllability of behavior did not directly lead to the intention to adoption. Perceived usefulness also had the greatest influence on attitudes toward behavior. Short- and long-term training, workshops and research farm visits should be conducted to improve the intention to adoption of these technologies.
Knowledge mobilisation for translating evidence-based guidelines into practice. Lessons from using the Normalisation Process Theory to understand adherence to guidance on MgSO4 in preterm labou
Authors: Pithara-McKeown Christalla , Stone Tracey , Treloar Emma , Donovan Jenny , Luyt Karen , Redwood Sabi 
Published: September 2024

Abstract

Background
The administration of magnesium sulphate (MgSO4) in preterm labour is an evidence-based intervention recommended by the United Kingdom’s National Institute for Health and Care Excellence (NICE) to prevent neurological damage to the infant. However, uptake varies across UK maternity units. We used findings from implementation research in England, Scotland and Wales to explore knowledge mobilisation as a mechanism for improving adherence to clinical guidance.
Methods
Data were collected using semi-structured interviews for a process evaluation of the PReCePT (Preventing Cerebral Palsy in Pre-Term Labour) National Programme, the PReCePT cRCT study, and a study investigating MgSO4 guidance implementation in Scotland and Wales. Normalisation Process Theory informed data collection and analysis. Data were analysed using the framework method.
Results
Interviews with 68 strategic and clinical leads and implementers from the three nations suggested that despite evidence being necessary and important for policy decision-making, clinical leadership intervention decisions were motivated by audit data and benchmarking. Implementation success was impaired by degrees of silo working and rigid role boundaries, alongside differences in implementers’ ability to mobilise social-cognitive (e.g. commitment by maternity, neonatal and obstetric teams), and social-structural resources such as staff capacity, articulated workflows, and culture.
Cross-organisational, diverse and collaborative communities of practice (CoPs) rooted in distributed leadership created a nexus between national and regional leadership, patient group representatives, implementers i.e. clinical leads and champions, and perinatal clinical teams. They provided a platform for CoP participants to build relationships and share knowledge, and together negotiate meaning, co-design implementation plans, share operational enablers such as strategies and products, and assess progress. Where training opportunities were provided alongside mentoring and peer support, CoPs created implementation resource i.e. capacity and capability within the perinatal system. Backfill funding for champions and protected time away from clinical duties were required to enable participation, especially for champions in resource-poor settings.
Conclusions
Opportunities to participate in collaborative, diverse, cross-organisational CoPs where knowledge and innovation can be co-created, shared, and spread across the perinatal ecosystem, can help address disparities in clinical teams’ ability to implement evidence-based interventions. Participation relies on backfill funding for champions, and a system-wide commitment to improvement.
Self-supervised representation learning for clinical decision making using EHR categorical data: a scoping review
Authors: ZHENG Yuanyuan , BENSAHLA Adel , BJELOGRLIC Mina , ZAGHIR Jamil , BEDNARCZYK Lydie , GAUDET-BLAVIGNAC Christophe , EHRSAM Julien , MARCHAND-MAILLET Stéphane , LOVIS Christian 
Published: September 2024

Abstract

The widespread adoption of Electronic Health Records (EHRs) and deep learning, particularly through Self-Supervised Representation Learning (SSRL) for categorical data, has transformed clinical decision-making. This scoping review, following PRISMA-ScR guidelines, examines 46 studies published from January 2019 to April 2024 across databases including PubMed, MEDLINE, Embase, ACM, and Web of Science, focusing on SSRL for unlabeled categorical EHR data. The review systematically assesses research trends in building efficient representations for medical tasks, identifying major trends in model families: Transformer-based (43%), Autoencoder-based (28%), and Graph Neural Network-based (17%) models. The analysis highlights scenarios where healthcare institutions can leverage or develop SSRL technologies. It also addresses current limitations in assessing the impact of these technologies and identifies research opportunities to enhance their influence on clinical practice.
O VALOR CAUSATIVO DO PREFIXO [DES-]: UM ESTUDO LÉXICO-SEMÂNTICO
Authors: Buthers Chritiane Miranda 
Published: September 2024

O objetivo desta pesquisa é proceder à análise do prefixo [des-], segundo as acepções semânticas que podem ser refletidas nesse morfema. Pretende-se investigar os predicados que figuram com esse prefixo, delineando os valores semânticos específicos atribuídos à base lexical com a qual se conecta. Adicionalmente, implementamos o sentido “causativo” que [des-] impõe sobre os verbos com os quais pode ser combinado, como, por exemplo: desacelerar, desativar, desorganizar, desinquietar, entre outros. Com o sentido causativo, [des-] pressupõe uma estrutura bieventiva, contendo um evento causado (evento 1) que será modificado pelo evento da causação (evento 2). O enfoque deste artigo contempla, então, a interface do léxico com a semântica e a sintaxe. Observamos que o prefixo [des-] causativo se conecta a predicados de estado, atividade, processo e criação. Nessas circunstâncias, dois eventos estarão envolvidos, já que o prefixo [des-] seria responsável por introduzir o evento da causação (evento 2). Ressaltamos que esses mesmos predicados podem figurar com o prefixo [des-] não causativo. Quando isso ocorre, apenas um evento estará envolvido na predicação. Utilizando de estratégias de descrição da teoria gerativa e da proposta assumida por Pylkkänen (2002) – espraiamento do núcleo vo com a inserção do núcleo Causeo para as construções causativas –, verificamos que [des-] causativo é a realização morfológica do núcleo Causeo. Dessa maneira, esse prefixo cumpre a função de introduzir o segundo evento na predicação. Adicionalmente, assumimos que o causativo [des-] possui uma contraparte negativa, além do traço estativo, o qual será atribuído ao primeiro evento. Essa combinação motiva a mudança de estado desse evento.
PRODUÇÃO DE BLOQUETES EM CONCRETO VERDE COM ADIÇÃO DE PALHA DE CAFÉ
Authors: Oliveira Dione da Costa , De Souza Rafael Eler 
Published: September 2024

O estado de Minas Gerais é responsável por grande parte da produção cafeeira do país. A constatação da necessidade de encontrar tecnologias sustentáveis para lidar com a quantidade de resíduos gerados por essa demanda de café na região faz surgir esta pesquisa. O objetivo do estudo foi o desenvolvimento de bloquetes por meio de um concreto verde com a adição de cinzas da casca de café separada de qualquer matéria orgânica e em substituição de parte do cimento. Foram determinados os traços de concreto em que parte do cimento foi substituída em pelas cinzas da palha de café. Para tanto, foi feita uma análise estatística, na qual foi necessário um planejamento fatorial de experimentos do tipo 2k, sendo k o número de fatores, com dois níveis para cada fator. Os corpos-de-prova foram moldados com traço de 1:1 (Areia, Pó de brita) com substituição de 0%, 12,5%, 25%, 37,5% e 50% do volume do cimento pelas cinzas da casca de café.
Assistance of aminated straw on enhanced biodegradation of phenol through bacteria and potential prediction of machine learning for bioremediation
Authors: Yu Lei , Gong Shuxin , Liang Jing 
Published: September 2024

ABSTRACT

How to treat phenol-containing wastewater harmlessly is an urgent problem to be solved. In this study, a kind of biomaterial was prepared through strain PAO1 immobilized on aminated straw to enhance the phenol removal rate and efficiency. The aminated straw assisted PAO1 to increase the phenol degraded concentration from 1,900 to 1,500 mg/L, and shorten the degraded time by 44 h at 1,500 mg/L phenol. The immobilized PAO1 could remove phenol at pH 10 and 11, which was 2.7 and 3.8 times higher than free bacteria, respectively. In addition, the immobilized PAO1 could totally remove phenol, which was twice as high as that of free bacteria, at 4% NaCl stress. Furthermore, the removal efficiency of immobilized PAO1 was higher than that of free bacteria under the stress of various metal ions, especially for Co2+ and Pb2+. The determination coefficients R2 and root mean square error showed that the back propagation artificial neural network model could predict the degradation of phenol under various conditions, saving time and economic cost. The present study envisions that this biomaterial has great potential in the bioremediation of organic pollutions.
Mentha spicata Mediated Formulation of Iron Oxide Nanoparticles Exhibit Superior Antimicrobial, Antioxidant, and Photodegradation Propensity Compared to Chemically Formulated Counterparts
Authors: Panigrahi Lipsa Leena , Shekhar Shashank , Sarangi Ashirbad , Satpathy Siddharth , Parmanik Ankita , Bose Anindya , Bhattacharya Debapriya , Arakha Manoranjan 
Published: September 2024

Introduction:
Iron oxide nanoparticles demonstrate tremendous potential in preserving
the ecological balance of the environment since they act as antimicrobial agents and efficient photocatalysts.
However, environmental sustainability has challenged the synthesis protocols of nanomaterials.

Methods:
This study compares the green synthesis method with the scalable chemical synthesis
method. In this work, Iron oxide nanoparticles were fabricated via the green chemistry technique
utilizing the leaf extract of Mentha spicata (M-IONP) and also via the chemical co-precipitation
method (C-IONP). The synthesized IONPs were analyzed by different characterization methods
such as XRD, FTIR, SEM analysis, ZETA potential measurements, and DLS spectroscopy analysis.

Results:
The biosynthesized and chemically synthesized IONPs were analyzed for their mechanistic
action against different applications like antimicrobial, antioxidant, and degradation of harmful
dyes. Interestingly, the biosynthesized IONPs (M-IONP) exhibited more effective antimicrobial
efficacy towards Gram-positive and Gram-negative organisms than chemically synthesized
IONPs.

Conclusion:
The green synthesized M-IONP also showed significant antioxidant propensity similar
to that of the standards taken. Additionally, green-synthesized M-IONP exhibited enhanced
degradation efficacies against Methylene blue, chromium, and sulphamethoxazole in comparison
to chemically synthesized IONP.
Prevalence and Risk Factors of Postpartum Depression in Palestinian Women in the Hebron Governorate, Palestine
Authors: Ibtisam Titi , Ahmead Muna , Abed Yehia , Nuha El-Sharif 
Published: September 2024

Background
Despite the increased interest from researchers in Postpartum depression (PPD) globally, related studies are limited in Palestine and do not provide a comprehensive understanding of PPD.

Objective
We examined the factors that determine post-partum depression among Palestinian mothers in Hebron governorate.

Methods
A cross-sectional study was conducted in 122 governmental primary healthcare clinics in Hebron Governorate. A convenient sampling method was used to collect data from 435 using a self-administered questionnaire using the Edinburg Postnatal Depression Scale.

Results
The mean EPDS scale score was 10.56 (SD 5.273), and 36.1% had a score of ≥13, indicating moderate-to-severe depression symptoms. The study results revealed that psychosocial factors were significantly associated with PPDS and play a crucial role in the development of PPD, such as the history of depression, being exposed to domestic violence before and during pregnancy, poor husband support, unplanned pregnancy, fear of infant’s gender, and in addition to anemia than other factors.

Conclusion
A high prevalence of PPD was found among Palestinian women in this study. The study proposes screening women for trauma or domestic violence and assessing their social support, inquiring about pregnancy intention, and discussing family planning. Delivering iron supplements to pregnant or postpartum anemic women is important. Women who have a history of depression, domestic abuse, or lack social support should receive psychological and medical treatment. Mental health services must be included in the after-birth care protocol to train primary health clinic staff to recognize and treat PPD.
Detection of Sleeping Pattern Using EEG Signals with Deep Learning
Authors: Immanuel Rajeswari Rajesh , S.K.B Sangeetha , Mathivanan Sandeep Kumar , Rajadurai Hariharan , Suresh K. 
Published: September 2024

Background:
Recorded brain activity analysis is a major tool used in modern medicine
and sleep-based research. However, the volume and complexity of the data make manual
investigation difficult. Furthermore, high inter-subject variability presents a challenge to deep
learning techniques, especially in the detection of sleep-related EEG patterns and artifacts.

Methods:
Sleep Pattern Identifier (SPI), a hybrid classifier, was used in this study to address
the aforementioned issues. SPI tests the efficacy of artifact detection while examining strategies
and tactics used in real-world sleep research. A focus was on inter-subject variability, especially
in data gathered from participants suffering from sleep disorders. For comparison and
visual inspection of the data, formal statistical measures like accuracy, model loss, precision,
recall, and ROC were employed.

Results:
With an accuracy of 94.85%, the suggested model outperformed current techniques
and demonstrated higher accuracy. Further, the Sleep-EDF dataset was used in this investigation.

Conclusion:
The conclusion highlights the effectiveness of the SPI hybrid classifier in identifying
EEG patterns, especially in situations where sleep research is conducted in the real
world. Research methodologies based on sleep have made significant progress in handling artifacts
and adapting to inter-subject variability.
Persepsi dan Keputusan Adopsi Inovasi Teknologi Berbasis Kearifan Lokal Pada Budidaya Kopi di Lampung
Authors: Zahara Zahara , Slameto Slameto , Yaumidin Umi Karomah , Asnawi Robet , C. Kifli Gontom , Qomariah Retna , Sumaryanto Sumaryanto , Priyanto Dwi , Wylis A Ratna , Diptaningsari Danarsi , Novitasari Erliana , D. Suretno Nandari , Meidaliyantisyah Meidaliyantisyah , Mawardi Rahadian , Erdiansyah Erdiansyah , Agustiani Mala 
Published: September 2024

Kearifan lokal merupakan pandangan atau cara masyarakat dalam menghadapi berbagai permasalahan, termasuk budidaya kopi. Pemanfaatan teknologi berbasis kearifan lokal semakin ditinggalkan oleh masyarakat, dikarenakan msifnya teknologi modern yang ditransfer kepada masyarakat. Disisi lain penerapan teknologi berbasis kearifan lokal yang tepat cenderung masih memberikan dampak positif terhadap keberlanjutan usahatani kopi. Tujuan dari penelitian ini adalah untuk mengetahui persepsi petani dan faktor-faktor yang mempengaruhi keputusan mereka untuk menggunakan teknologi berbasis kearifan lokal dalam budidaya kopi. Manfaat penelitian ini adalah : (1) memberikan kontribusi terhadap studi keilmuan yang berkaitan dengan persepsi dan Keputusan adopsi inovasi teknologi berbasis kearifan lokal pada budidaya kopi yang berkelanjutan; (2) secara praktis dapat diterapkan dan dikembangkan bentuk penyempurnaan bagi petani dalam proses adopsi inovasi teknologi budidaya kopi berbasis kearifan lokal; (3) secara implikasi sebagai bahan masukan dan pertimbangan bagi penentu kebijakan. Penelitian dilaksanakan pada bulan November 2022 di Tanggamus dan Lampung Barat Provinsi Lampung. Petani yang dijadikan sampel ada petani kopi rakyat sebanyak 140 petani. Data yang dikumpulkan adalah karakteristik sosial dan ekonomi petani responden, jenis teknologi berbasis kearifan lokal, persepsi dan adopsi teknologi kearifan lokal. Data dianalisis menggunakan regresi logistik untuk menentukan variabel yang mempengaruhi keputusan petani dalam mengadopsi teknologi berbasis kearifan lokal. Sementara itu, persepsi dianalisis menggunakan skala Likert. Hasil analisis menunjukkan keputusan adopsi inovasi teknologi berbasis kearifan lokal budidaya kopi secara simultan dipengaruhi oleh umur, pendidikan, pengalaman usahatani, luas lahan, produktivitas, keuntungan relatif, compatibility, complexity, trialability, observability. Namun secara parsial hanya 3 variabel yang mempengaruhi keputusan adopsi yaitu pendidikan, luas lahan dan kemudahan untuk dicoba (trialability). Persepsi petani terhadap budidaya kopi berbasis kearifan lokal dilihat dari karakteristik inovasi menunjukkan bahwa secara ekonomi cukup menguntungkan, sesuai dengan kebiasaan dan pengalaman petani, tidak rumit untuk dipraktikkan, mungkin untuk dicoba dan mungkin untuk dilihat hasilnya.