bluuebunny/crossref_metadata_2025_split huggingface dataset:
Drought evolution in the Haihe River basin during 1960–2020 and the correlation with global warming, sunspots, and atmospheric circulation indices
Authors: Ling Minhua , Guo Xiaomin , Zhang Yanyan , Yu Lili , Xia Qinyuan 
Published: December 2022

Abstract
The Haihe River basin is the main grain production base and the highland of economic strategic development in China. Based on daily meteorological data during 1960–2020, the characteristics of drought evolution in the Haihe River basin were analyzed by the standardized precipitation evapotranspiration index (SPEI). Pearson correlation method and cross-wavelet analysis were used to explore the correlation between the SPEI and climate factors (global warming, sunspots, and atmospheric circulation indices). Global warming has led to a trend of increasing drought in the basin, and there is an obvious zonality in the change of the trend, with the strongest impact on the central region of the basin (112°E–120°E, 38°N–41°N). The SPEI was negatively correlated with the number of sunspots. The more sunspots there were, the more severe the drought in the basin. The drought was most susceptible to the El Niño-Southern Oscillation (ENSO) and the Atlantic Multidecadal Oscillation (AMO), followed by the Arctic Oscillation (AO) and the Pacific Decadal Oscillation (PDO). The North Atlantic Oscillation (NAO), the Pacific North America index (PNA), and the Western Pacific index (WP) were the least associated with the drought in the basin.
Logistic pipe failure prediction models for an urban water distribution network in the developing world: a case study of Kampala water, Uganda
Authors: Auma Rose , Musaazi Isaac G. , Tumutungire Martin D. , Sempewo Jotham Ivan 
Published: December 2022

Abstract
Statistical models can be used as proactive approaches to pipe failure management for the satisfactory and efficient functionality of a water distribution network (WDN). The study aimed to develop two logistic regression models using historical data and evaluated them based on prediction accuracy, receiver operator characteristics (ROC), and area under the curve (AUC). Pipe sizes ranging from 150 mm to 350 mm in the WDN were adequate to prevent pipe failure. However, a 250 mm pipe diameter had the lowest failure probability. Old pipes had a lower failure probability than new pipes. Although it was evident that the installation design of water pipes is changing from steel to unplasticized polyvinyl chloride (uPVC), steel pipes had a lower failure probability than uPVC at the same depth from the soil surface. Pipes buried in gravel with a small diameter had a lower failure probability than those in clay of a bigger diameter. With a median pipe age of 8 years in the WDN and greater class weight on pipe failures, the binomial logistic regression model had better performance (accuracy – 96.9%, AUC – 0.996) than the multinomial logistic model (accuracy – 90.9%, AUC – 0.992), representing reliable model predictions. The models can be used to modify data collection protocols to better identify potential water pipes that require maintenance or replacement.
The pollution effect on the denitrifying capacity of methanogenic sludges
Authors: Camacho-López Cesar , Romo-Gómez Claudia , Otazo-Sánchez Elena , Gómez Aldapa Carlos A. , García-Nieto Edelmira , Juárez-Santacruz Libertad 
Published: December 2022

Abstract
The denitrification process has been studied for biodegradation of some emerging contaminants (ECs). For this, anaerobic sludges from different Wastewater Treatment Plants (WTP) have been used; however, the biodegradation capacity can differ due to the contact they have had with various pollutants, given their origin. This work aims to evaluate the kinetic and metabolic capacity of two denitrifying sludges from different WTPs to biodegrade CH3COO−-C and NO3−-N. Denitrifying tests were carried out in batches with CH3COO−-C (30 mg L−1) in a CN−1 relationship of 1.8 with sludge from a WTP of an educational center (WTP-A) and CH3COO−-C (50 mg L−1) to a CN−1 of 1.4 with another from the WTP of Atotonilco de Tula, Hidalgo, México (WTP-B). The results showed that the biodegradation rate of CH3COO−-C and NO3−-N with the WTP-B sludge was 35 and 75% greater, respectively, compared to the WTP-A sludge. Therefore, we suggest that the consumption difference of substrate is attributable to the sludges of WTP, which have been exposed to a high concentration of a great variety of pollutants.
Efficient Synthesis of Pyrido[2,3-b]indole Derivatives via Vanadium(III)-Catalyzed
Cascade Cyclization of 2-(2-aminophenyl)acetonitrile and Enones
Authors: Liu Donghan , Zhang Mingshuai , Chen Longkun , Liu Zhuoyuan , Zhu Yemei , Yu Fuchao 
Published: December 2022

Abstract:
An efficient strategy for the synthesis of pyrido[2,3-b]indoles through VCl3-catalyzed cascade
cyclization reactions of N,N-dimethyl enaminones or chalcones with 2-(2-aminophenyl)-
acetonitrile under mild reaction conditions was developed. This method features many advantages,
such as readily available starting materials, good substrate, good functional group tolerance, and good
yields. A plausible reaction mechanism was provided. Moreover, the high yields of N-unprotected
substrates made this reaction system extremely advantageous with currently known methods.
Pyrazole and Benzimidazole Derivatives: Chelating Properties Towards Metals Ions
and their Applications
Authors: Chkirate Karim , Essassi El Mokhtar 
Published: December 2022

Abstract:
Due mainly to their structural diversities, pharmacological, electrochemical, and photophysical properties, the metal synthesis pyrazole and benzimidazole complexes were extensively designed and developed. The nitrogen-containing ligands playing an important role in coordination chemistry contain a wide variety of heterocyclic systems possessing one or more nitrogen atoms as electron donors, such as pyridine, isoxazole, pyrazole, 1,2,4-triazole, 1,3,5-triazine, quinoline, quinoxaline and benzothiazole. The structure of all ligands and the corresponding metal complexes are established using elemental analysis, infrared spectroscopy, NMR spectroscopy, mass spectrometry, single-crystal X-ray diffraction, thermogravimetric differential thermal analysis, static, magnetic susceptibility measurements, electron paramagnetic resonance spectroscopy (EPR), UV-Vis spectroscopy, and conductivity measurements.In this review, we report the synthesis and the chelating reactions of several heterocyclic ligands with various metals such as transition metals and lanthanides. The photophysical and photochemical properties of the metal complexes will also be presented and discussed.
NMR Structure Elucidation and Molecular Modeling of Lipoxygenase and Cholinesterase
Inhibiting Steroids from Hypericum oblongifolium
Authors: Sajid Anam , Afzal Muhammad , Sajid Arfaa , Manzoor Qaisar , ahmed Ejaz , Sharif Ahsan , Younas Samia 
Published: December 2022

Abstract:
Hypericum oblongifolium is a potent source of bioactive constituents. A series of pharmacological properties, ranging from wound healing and antiseptic to antiviral, anti-inflammatory, anticancer, ethanol intake inhibition, and apoptosis-inducing activities have been associated with this plant. The current research project was designed to investigate the new secondary metabolites in H. oblongifolium having excellent pharmaceutical potential. In the present investigation two new cholestane-type steroids, hyperinoate A (1) and hyperinoate B (2) were isolated from a chloroform soluble fraction of the whole plant of H. oblongifolium. Structures of isolated new compounds were elucidated based on spectroscopic data including 1D (1HNMR, 13CNMR) and 2D (HMBC, COSY, NOESY) NMR and mass spectrometry (EIMS, HREIMS) data. After structure elucidation, new compounds were named 6α-hydroxy-14α-methyl Cholestan-3-yl-acetate and 6α,25-dihydroxy-14α-methyl Cholestane-3-yl-acetate. Both steroids showed promising inhibitory activity against lipoxygenase (LOX) and acetylcholinesterase (AChE) enzymes. Especially hyperinoate A (1) inhibited the lipoxygenase (LOX) enzyme with IC50 41.7± 0.15 µM whereas Baicalein (positive control) had IC50 42.3 ± 0.20 µM. Similarly, Hyperinoate B (2) (56.3 ± 0.33 µM) showed higher inhibition than Galantamine (positive control) 53.8 ± 0.54 µM. These results were validated with in-silico molecular docking investigations. The greater binding affinity of hyperinoate A (1) (-9.2 Kcal/mol) against LOX-5(PDB ID 3V99) showed higher inhibition as compared to baicalein (positive control) (-7.7 Kcal/mol). The binding affinities of hyperinoate B (2) (-10.5 Kcal/mol) were close to galantamine (-10.6 Kcal/mol). All in-vitro and in-silico results revealed that both newly isolated compounds showed moderate inhibition against lipoxygenase (LOX) and acetylcholinesterase (AChE) enzymes.
Hydrogen-producing Photocatalyst at Sunscreen for Athletes in Preventing
and Healing Muscle-nerve-skin Injuries
Authors: Sahoo Pathik 
Published: December 2022

Abstract:
Physical injuries in sports are unavoidable, but they can be mitigated and even treated by using molecular hydrogen, which can be administered via a specially formulated sunscreen. The photocatalysts are a special class of semiconductors that can absorb a specific spectrum of light to promote its electron from the valance band (VB) to the conduction band (CB). This creates positively charged holes at VB and negatively charged electrons at CB in generating photochemical reaction centres. Once a photocatalyst that absorbs a harmful UV band from sunlight and can split water is doped inside a hydrogel will produce hydrogen in the presence of sunlight. If we employ such photocatalyst-doped hydrogel over naked skin, the hydrogel will act as a continuous source of water, which will absorb water from sweet, store it inside the hydrogel matrix and deliver it to the photocatalyst for splitting it further into the hydrogen. As a result, such photocatalyst-doped hydrogel can be used as a sunscreen to protect against sunlight and can use that spectrum of light for producing hydrogen from sweat continuously. Hydrogen can be absorbed through the skin and diffused in the body to heal wound-prone or injured muscles, and nerves. Because hydrogen may travel throughout the body, the catalyst-doped hydrogel can be used as a topical gel to treat various ailments such as muscle-nerve skin injuries, cancer, Parkinson's disease, and others. Besides common people, even athletes can use it as sunscreen during sports, which is not feasible for other hydrogen administrating systems.
Pitfalls and Limitations of Platelet Counts and Coagulation Tests in the
Neonatal Intensive Care Unit
Authors: Davenport Patricia , Sola-Visner Martha 
Published: December 2022

Abstract:
The assessment of hemostasis and the prediction of bleeding risk are of great importance to neonatologists. Premature infants are at an increased risk for bleeding, particularly intra-cranial hemorrhages (most commonly intra-ventricular hemorrhages (IVH)), gastrointestinal hemorrhages, and pulmonary hemorrhages. All severe bleeding, but especially severe IVH, is associated with poor neurodevelopmental outcomes, and other than prenatal steroids, no intervention has reduced the incidence of this serious complication. As a result, there is a need in neonatology to more accu-rately identify at-risk infants as well as effective interventions to prevent severe bleeding. Unfortu-nately, the commonly available tests to evaluate the hemostatic system were established using adult physiologic principles and did not consider the neonate's different but developmentally appropriate hemostatic system. This review will describe the changes in the platelet count and tests of hemosta-sis throughout development, the limitations of these tests to predict neonatal bleeding and the utility of treating abnormal results from these tests with platelet and/or fresh frozen plasma (FFP) transfu-sions in non-bleeding infants.
Development of an Information System to Support Occupational Therapy Services from Hospital to Community
Authors: Putthinoi Supawadee , Lersilp Suchitporn , Chaimaha Napalai , Chaiwongsa Rujirek , Lerttrakarnnon Peerasak 
Published: December 2022

Background:
Information systems for occupational therapy (OT) services need to adapt effectively for improving performance by taking advantage of digital technology.

Objective:
This research aimed to develop an information system for supporting occupational therapy services in the community.

Methods:
This study used a mixed methods research design divided into two phases. Phase I: system requirements were gathered from nine occupational therapists who represented each of the nine provinces in northern Thailand. Focus groups and in-depth interviews were used in detail to explore the system requirements for occupational therapy services in the community. This information system applied a responsive web design. Phase II: usability testing, involved thirty occupational therapists in a northern network, who were selected to evaluate an information system by using a questionnaire.

Results:
Results showed that participants requested two components: 1) Occupational Therapist data, and 2) a referral system. The information system could be used by occupational therapists in a northern Thai OT network to insert their own information actively for providing a referral system. The overall usability assessment was at a high level (mean ± SD = 4.27 ± 0.07).

Conclusion:
This study concluded that an OT digital network system may offer a strategy to support OT services from hospital to community in a complex system of healthcare.
A Concise Review on Internet of Things: Architecture, Enabling Technologies,
Challenges, and Applications
Authors: Saqib Manasha , Moon Ayaz Hassan 
Published: December 2022

Background:
With the advancements of ubiquitous computing, wireless sensor networks, and machine-to-machine communication, the Internet of Things (IoT) has become a constantly growing concept. The IoT is a new paradigm that interconnects all smart physical devices to provide smart services to users. It effectively delivers user-required services by utilising internet connectivity, sensors, and various technologies and protocols for the analysis and collection of data. IoT is predicted to permeate practically every facet of daily life, from smart cities to health care, smart agriculture, logistics and retail, and even smart living and smart ecosystems. Since IoT systems are comprised of heterogeneous hardware and networking technologies, integrating them to the software/application level to extract information from massive amounts of data is a difficult task.

Methods:
In this survey, the definitions, elements, working, architecture, fundamental technologies, key challenges, and potential applications of IoT are systematically reviewed. Initially, the various definitions and elements of IoT are introduced, followed by an explanation of how an IoT works. Additionally, an outline of IoT in the context of the architecture is presented. The primary enabling technologies that will drive IoT research in the near future are examined in this paper. Furthermore, the major key challenges that the research community must address, as well as potential solutions, are investigated. Finally, the paper concludes with some potential IoT applications to demonstrate the concept's feasibility in real-world scenarios.

Conclusion:
The goal of this survey is to assist future researchers in identifying IoT-specific challenges and selecting appropriate technology based on application requirements.
Comprehensive Comparisons of Family Health Between Families With One Immigrant Parent and Native Families in Taiwan: Nationwide Population-Based Cohort Study
Authors: Chen Yi-Lung , Ho Hsing-Ying 
Published: December 2022

Background
Mothers and children in families with one immigrant parent have been reported to be healthier than those in native families; however, the health of the fathers in these families has rarely been discussed in literature.

Objective
We aimed to comprehensively compare the health of all the family members between families with one immigrant parent (native fathers, immigrant mothers, and their children) and native families (native fathers, native mothers, and their children).

Methods
We conducted a cohort study by using the Taiwan Maternal and Child Health Database to recruit live-born children and their parents from 2004 to 2016. Overall, we identified 90,670 fathers, 91,270 mothers, and 132,457 children in families with one immigrant parent and 1,666,775 fathers, 1,734,104 mothers, and 2,637,191 children in native families and followed up with them from 2004 to 2017. The outcomes comprised common physical and mental disorders, catastrophic illnesses, mortality, and child adversities and accidents. The covariates comprised the child’s year of birth, parental age, low-income status, and physical or mental disorder status. Logistic regression was performed to compare the risks of the outcomes between families with one immigrant parent and native families.

Results
The parents in families with one immigrant parent were more likely to be of low-income status and were older than the parents in native families. After adjusting for the covariates, fathers in families with one immigrant parent were found to have higher risks of physical and mental disorders, catastrophic illness, and mortality than fathers in native families. Conversely, mothers in families with one immigrant parent had lower risks of physical and mental disorders, catastrophic illness, and mortality than mothers in native families. Finally, the children in families with one immigrant parent generally had better physical and mental health but higher risks for leukemia, liver diseases, autism spectrum disorder, and road traffic accidents than children in native families.

Conclusions
The health status of the members of families with one immigrant parent was nonhomogeneous, and the poorer general health of fathers in such families suggests health inequalities in families with one immigrant parent.
Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach
Authors: Kim Ah Young , Jang Eun Hye , Lee Seung-Hwan , Choi Kwang-Yeon , Park Jeon Gue , Shin Hyun-Chool 
Published: December 2022

Background
Automatic diagnosis of depression based on speech can complement mental health treatment methods in the future. Previous studies have reported that acoustic properties can be used to identify depression. However, few studies have attempted a large-scale differential diagnosis of patients with depressive disorders using acoustic characteristics of non-English speakers.

Objective
This study proposes a framework for automatic depression detection using large-scale acoustic characteristics based on the Korean language.

Methods
We recruited 153 patients who met the criteria for major depressive disorder and 165 healthy controls without current or past mental illness. Participants' voices were recorded on a smartphone while performing the task of reading predefined text-based sentences. Three approaches were evaluated and compared to detect depression using data sets with text-dependent read speech tasks: conventional machine learning models based on acoustic features, a proposed model that trains and classifies log-Mel spectrograms by applying a deep convolutional neural network (CNN) with a relatively small number of parameters, and models that train and classify log-Mel spectrograms by applying well-known pretrained networks.

Results
The acoustic characteristics of the predefined text-based sentence reading automatically detected depression using the proposed CNN model. The highest accuracy achieved with the proposed CNN on the speech data was 78.14%. Our results show that the deep-learned acoustic characteristics lead to better performance than those obtained using the conventional approach and pretrained models.

Conclusions
Checking the mood of patients with major depressive disorder and detecting the consistency of objective descriptions are very important research topics. This study suggests that the analysis of speech data recorded while reading text-dependent sentences could help predict depression status automatically by capturing the characteristics of depression. Our method is smartphone based, is easily accessible, and can contribute to the automatic identification of depressive states.
PENGARUH DESAIN KERJA TERHADAP KINERJA KARYAWAN PADA PT. SUCOFINDO CABANG JAMBI DENGAN MOTIVASI INTRINSIK SEBAGAI VARIABEL MEDIASI
Authors: Ananda Tria Rizki 
Published: December 2022

Penelitian ini dilakukan di PT. Sucofindo Cabang Jambi dan tujuan dari penelitian adalah untuk mengetahui pengaruh desain kerja terhadap kinerja karyawan pada PT. Sucofindo Cabang Jambi dengan motivasi intrinsik sebagai variabel mediasi. Sebagai subjek dalam penelitian ini adalah karyawan PT. Sucofindo Cabang Jambi yang berjumlah 57 orang. Sampel diambil berdasarkan teknik non probability sampling dan teknik penentuan sampel adalah sampel jenuh. Metode yang dipergunakan adalah metode deskriptif kuantitatif dengan desain penelitian eksplanatori. Pengumpulan data dilakukan dengan metode kuesioner dan skala pengukuran variabel meggunakan skala likert. Alat analisis data penelitian ini adalah metode Partial Least Square (PLS) dengan menggunakan software smartPLS.
Hasil penelitian menunjukkan bahwa desain kerja berpengaruh positif dan signifikan terhadap kinerja, desain kerja berpengaruh positif dan signifikan terhadap motivasi intrinsik, motivasi intrinsik berpengaruh positif dan signifikan terhadap kinerja dan desain kerja berpengaruh positif dan signifikan terhadap kinerja karyawan PT. Sucofindo cabang Jambi dengan motivasi intrinsik sebagai variabel mediasi. Hasil penelitian ini menemukan bahwa pengaruh tidak langsung desain kerja terhadap kinerja yang dimediasi oleh motivasi intrinsik lebih besar dibandingkan dengan pengaruh langsung desain kerja terhadap kinerja.

Kata kunci : Desain kerja, motivasi, kinerja
Analisis Pendapatan dan Kelayakan Usahatani Bawang Merah Varietas Lembah Palu di Kabupaten Sigi
Authors: Erny Erny , Howara Dafina , Fahruddin Muh , Safitri Dian 
Published: December 2022

Bawang Merah (Allium ascalonicum L) merupakan salah satu komoditi sayuran unggulan yang sejak lama diusahakan oleh petani secara intensif, dan mempunyai peluang pasar yang besar dalam sektor agribisnis sehingga merupakan sumber pendapatan dan kesempatan kerja yang memberikan kontribusi cukup tinggi terhadap perkembangan ekonomi. Salah satu sentra produksi bawang merah varietas lembah palu di Provinsi Sulawesi Tengah adalah di Kabupaten Sigi. Hasil produksi usahatani bawang merah varietas lembah palu Tahun 2021 di Kabupaten Sigi mencapai 3 ton atau 3.095 kg dengan luas panen seluas 612 ha (BPS, Kabupaten Sigi dalam angka, 2021), dari data tersebut Kabupaten Sigi memiliki potensi untuk mengembangkan komoditas bawang merah varietas lokal palu, sedangkan menurut Riyanti (2011) potensi produktivitas bawang merah di Indonesia mencapai lebih dari 20 ton ha-1. Besarnya produksi bawang merah varietas lembah palu dilokasi penelitian belum dapat menjamin tingginya pendapatan petani, hal ini disebabkan oleh harga yang diterima petani bawang merah varietas lembah palu lebih rendah dari harga yang dibayarkan oleh konsumen, selain itu pendapatan yang diterima petani juga ditentukan oleh semakin meningkatnya harga sarana produksi. Adapun tujuan dari penelitian ini yaitu untuk mengetahui tingkat pendapatan petani dan mengetahui kelayakan dari usahatani bawang merah varietas lembah palu. Hasil menelitian menunjukkan bahwa rata-rata pendapatan yang diperoleh petani bawang merah varietas lembah palu sebesar Rp. 103.105.292,06/ha/musim tanam atau jika dikonversi sebesar Rp. 25.776.323,02/ha/bulan, dan usahatani bawang merah varietas lembah palu layak untuk diusahakan dan dikembangkan, hal ini dapat dilihat dari nilai R/C lebih dari 1, yaitu sebesar 2,51.