bluuebunny/crossref_metadata_2025 huggingface dataset:
Microwave-Assisted Reductive Amination under Heterogeneous Catalysis for the Synthesis of β-Adrenergic Agonist and Related Structures
Authors: Bucciol Fabio , Colia Mariachiara , Canova Erica , Grillo Giorgio , Calcio Gaudino Emanuela , Cravotto Giancarlo
Published: August 2023

Reductive amination is a powerful tool in sustainable organic synthesis that allows chemists to access a wide range of valuable amine products using renewable feedstocks and mild reaction conditions, with minimal waste generation. Practical applications can be found in various fields, including pharmaceuticals, contributing to greener and more sustainable chemical processes. In this work, we present a heterogeneous (Rh and Pt) catalyzed protocol for the fast and efficient synthesis of ractopamine hydrochloride (β-adrenergic drug) under microwave-assisted reductive amination protocol starting from raspberry ketone and octopamine. Microwave (MW) successfully accelerated the hydrogenation reaction and reduced the reaction time from 13 h to only 3 h under mild conditions (50 °C at 10 bar). The best catalysts were Pt/C and Rh/C, which led to high conversion and selectivity towards ractopamine:HCl. Different solvents and ketone substrates were also experimented. Acetophenone, cyclohexanone, and 2-butanone reacted at lower H2 pressure (5 bar), and highest selectivity was observed with cyclohexanone (99%). These preliminary experiments may be useful for further process improvements in the synthesis of β-adrenergic agonists and related structures and underline the positive synergy between MW and heterogeneous catalysis.
A Comprehensive Prediction Method for Pore Pressure in Abnormally High-Pressure Blocks Based on Machine Learning
Authors: Li Huayang , Tan Qiang , Deng Jingen , Dong Baohong , Li Bojia , Guo Jinlong , Zhang Shuiliang , Bai Weizheng
Published: August 2023

In recent years, there has been significant research and practical application of machine learning methods for predicting reservoir pore pressure. However, these studies frequently concentrate solely on reservoir blocks exhibiting normal-pressure conditions. Currently, there exists a scarcity of research addressing the prediction of pore pressure within reservoir blocks characterized by abnormally high pressures. In light of this, the present paper introduces a machine learning-based approach to predict pore pressure within reservoir blocks exhibiting abnormally high pressures. The methodology is demonstrated using the X block as a case study. Initially, the combination of the density–sonic velocity crossplot and the Bowers method is favored for elucidating the overpressure-to-compact mechanism within the X block. The elevated pressure within the lower reservoir is primarily attributed to the pressure generated during hydrocarbon formation. The Bowers method has been chosen to forecast the pore pressure in well X-1. Upon comparison with real pore pressure data, the prediction error is found to be under 5%, thus establishing it as a representative measure of the reservoir’s pore pressure. Intelligent prediction models for pore pressure were developed using the KNN, Extra Trees, Random Forest, and LightGBM algorithms. The models utilized five categories of well logging data, sonic time difference (DT), gamma ray (GR), density (ZDEN), neutron porosity (CNCF), and well diameter (CAL), as input. After training and comparison, the results demonstrate that the LightGBM model exhibits significantly superior performance compared to the other models. Specifically, it achieves R2 values of 0.935 and 0.647 on the training and test sets, respectively. The LightGBM model is employed to predict the pore pressure of two wells neighboring well X-1. Subsequently, the predicted data are juxtaposed with the actual pore pressure measurements to conduct error analysis. The achieved prediction accuracy exceeds 90%. This study delivers a comprehensive analysis of pore pressure prediction within sections exhibiting anomalously high pressure, consequently furnishing scientific insights to facilitate both secure and efficient drilling operations within the X block.
Research on Optimization Algorithm of AGV Scheduling for Intelligent Manufacturing Company: Taking the Machining Shop as an Example
Authors: Wu Chao , Xiao Yongmao , Zhu Xiaoyong
Published: August 2023

Intelligent manufacturing workshop uses automatic guided vehicles as an important logistics and transportation carrier, and most of the existing research adopts the intelligent manufacturing workshop layout and Automated Guided Vehicle (AGV) path step-by-step optimization, which leads to problems such as low AGV operation efficiency and inability to achieve the optimal layout. For this reason, a smart manufacturing assembly line layout optimization model considering AGV path planning with the objective of minimizing the amount of material flow and the shortest AGV path is designed for the machining shop of a discrete manufacturing enterprise of a smart manufacturing company. Firstly, the information of the current node, the next node and the target node is added to the heuristic information, and the dynamic adjustment factor is added to make the heuristic information guiding in the early stage and the pheromone guiding in the later stage of iteration; secondly, the Laplace distribution is introduced to regulate the volatilization of the pheromone in the pheromone updating of the ant colony algorithm, which speeds up the speed of convergence; the path obtained by the ant colony algorithm is subjected to the deletion of the bi-directional redundant nodes, which enhances the path smoothing degree; and finally, the improved ant colony algorithm is fused with the improved dynamic window algorithm, so as to enable the robots to arrive at the end point safely. Simulation shows that in the same map environment, the ant colony algorithm compared with the basic ant colony algorithm reduces the path length by 40% to 67% compared to the basic ant colony algorithm and reduces the path inflection points by 34% to 60%, which is more suitable for complex environments. It also verifies the feasibility and superiority of the conflict-free path optimization strategy in solving the production scheduling problem of the flexible machining operation shop.
Rethinking Ricci’s Missionary Strategy: The Disputes between Buglio and Schall
Authors: Hu Wenting
Published: August 2023

During the late Ming Dynasty period, the Jesuits carried out a cultural accommodation strategy in China, commonly known as Ricci’s Strategy, due to the significant role played by Matteo Ricci (1552–1610) during this process. This strategy encompassed three elements: evangelizing through science and technology, establishing connections with the upper class, and compiling books to spread evangelism, all of which helped Catholicism to be promoted in China and be accepted by the Chinese people collectively. But the strategy also drew a lot of opposition within and outside of the Society of Jesus, some of which even led to the Rites Controversy. The extant literature primarily focuses on the conflicts that arose between the Society of Jesus and other religious orders, as well as the divergent viewpoints within the Society itself, like Niccolò Longobardo (1559–1654)’s well-documented anti-Riccian position. However, this approach largely ignored the disputes that arose within the Jesuit community in Beijing during the 17th century, mainly involving Ludovico Buglio (1606–1682) and Adam Schall (1592–1666) as two key figures on opposing sides. These disputes primarily centered around three points: the inclusion of superstitious elements in the calendar, the identities of the Jesuits in Early Qing, and the approach to inculturating theology. Although these historical events offered new perspectives and materials for the study of Ricci’s Strategy, they have received limited scholarly attention. This paper focuses on the disputes between Buglio and Schall, analyzing how Matteo Ricci’s Strategy was investigated during that time.
A Study on Bicycle-Sharing Dispatching Station Site Selection and Planning Based on Multivariate Data
Authors: Lei Yong , Zhang Jun , Ren Zhihua
Published: August 2023

Bicycle-sharing is experiencing rapidly as a low-carbon transport mode of travel, with the advantages of low cost and sustainability. Bicycle-sharing operators use electronic fence parking points to manage bicycle-sharing, but it is too time-consuming and impractical to manage them individually. Therefore, it is necessary to cluster the electronic fence parking points and implement regionalized management. This study uses a Mean-shift clustering algorithm to cluster the electronic fence parking points on Xiamen Island, construct a bicycle-sharing dispatching station, and divide the management area. Singular value decomposition is employed to analyze the travel demand patterns of bicycle-sharing and travel characteristics. In addition, we constructed regression models to explore the relationship between the urban built environment and bicycle-sharing trips during the morning and evening peak hours. The study results show that: (1) The 73 dispatching stations constructed cover 86.72% of the bicycle-sharing data, with a good clustering effect. (2) The travel demand for bicycle-sharing shows multiple patterns and different characteristics in different spatial and temporal distributions, which are influenced by land use. (3) There are spatial and temporal differences in the impact of the urban built environment on bicycle-sharing trips, especially residential and enterprise poi densities have opposite effects on shared bicycle-sharing during morning and evening peak hours. The research results of this paper can serve in the planning of bicycle-sharing dispatch stations and the differentiated management and dispatch of bicycle-sharing, which can reduce operating costs and promote the development of sustainable urban transport.
Effect of Perceived Quality of Green Brands on Road Race Participants’ Green Word of Mouth and Mediating Roles of Satisfaction with and Trust in Green Brands
Authors: Chen Jin-Long
Published: August 2023

The current study established a theoretical framework for exploring the influence of the perceived quality of green brands on green word of mouth (WOM) by investigating the mediating effects of satisfaction with and trust in green brands. Although prior research has explored the factors influencing green word of mouth, it has focused on information technology and electronic products. The target of the current research was road race runners in Taiwan. Structural equation modeling was performed to validate the research framework. The findings suggest that satisfaction with and trust in green brands mediate the positive effect of the perceived quality of green brands on green word of mouth. Thus, to enhance runners’ satisfaction with and trust in green brands and promote green WOM, road race organizations should allocate resources to improving the perceived quality of the green branding for their events.
Application of Graphene Oxide–Natural Polymer Composite Adsorption Materials in Water Treatment
Authors: Xie Jiliang
Published: August 2023

Graphene is a new type of carbon material with excellent properties that has been developed in recent years. Graphene composites have potential application value in solving the problem of water pollution. In this study, we investigated the properties and performance of graphene composites prepared through polymer modification and inorganic particle doping modification. Our research focused on the composites’ ability to adsorb heavy metal ions and degrade organic compounds through photocatalysis. In this study, we prepared graphene oxide (GO) first and then grafted p-phenylenediamine onto its surface. The process was successful and yielded promising results. The aniline grafted onto the graphene oxide surface was used as anchor point for the in situ redox polymerization of aniline, and a polyaniline macromolecular chain was grafted onto the edge of graphene oxide. The structure of the composite was determined using Fourier transform infrared spectroscopy, thermogravimetry, X-ray diffraction, and Raman spectroscopy and transmission electron microscopy. The adsorption performance of Pb+ on GO-PANI composite was studied. The maximum adsorption capacity of the GO-PANI composite for Pb+ is 1416 mg/g, 2.3 times that of PANI. Graphene/polyaniline composites can be used as an excellent adsorbent for Pb2+ heavy metal ions and have great application prospects in heavy metal wastewater treatment.
Comprehensive Investigation of Fluoroquinolone Residues in Apis mellifera and Apis cerana Honey and Potential Risks to Consumers: A Five-Year Study (2014–2018) in Zhejiang Province, China
Authors: He Liang , Shen Leiding , Zhang Jie , Li Rui
Published: August 2023

As a group of antibiotics largely used in China’s animal husbandry, fluoroquinolone (FQ) residues in honey may pose potential threats to human health. This study performed a five-year investigation on the occurrence of FQ residues in honey in 521 Apis mellifera and 160 Apis cerana honey samples collected from Zhejiang Province, China and compared FQ residue profiles in honey with a subgroup of various factors. Deterministic and probabilistic risk assessments of exposure to FQ residues in honey were further conducted. Overall, four FQs were detected in 6.9% (47/681) of analyzed samples; banned norfloxacin with the highest level (7890 μg·kg−1) and detection frequency (4.9%) was the primary safety risk factor associated with honeybees raised in China. FQ detection frequency and concentration of rape honey was highest among four of the largest and most stable honeys (rape, acacia, chaste, and linden) in China. Processed honey from commercial sale channels had a significantly higher detection frequency of FQ residues than raw honey from apiaries. Deterministic assessment showed that the noncarcinogenic hazard quotient (HQ) value of the dietary intake of FQs by the local population was between 4.75 × 10−6 and 1.18 × 10−3, less than 1.0, indicating that FQ residues in honey posed a low risk for consumers. The order of the HQ value was ciprofloxacin > norfloxacin > enrofloxacin > ofloxacin. Probabilistic assessment showed that at P95, the HQ of FQs for the age groups of children, adolescents, adults, and older adults over 65 years ranged from 2.39 × 10−5 to 0.217, less than 1, and the exposure risk for adults was higher than for children and adolescents. Sensitivity analysis showed that FQ concentrations were the major contributors to health risks. Although a low risk was found, a strict hive management is needed for beekeepers regarding troubles of food safety, international trade, and human bacterial resistance.
Nitrate Reduction through Al-Fe Alloy Catalyst: Effects of Activation Pre-Treatment Method and Alloy Type
Authors: Ma Xin , Zheng Lei , Li Zifu , Zhang Lingling , Cheng Shikun , Wang Xuemei
Published: August 2023

This study explored the nitrate reduction by Al-Fe alloy. The nitrate conversions of fresh, 30-day and 90-day alloys were 78.1%, 42.8% and 9.5%, respectively. Water activation promoted the reducing ability of the alloy (98% nitrate removal), which was higher than that of copper deposited alloy (66%) and H2-reducing/acid/alkali/Cl− activated alloy (no enhancement). The effects of pre-treatments on the surface O fraction changes confirmed the activation results. With increased Fe:Al mass ratio in the alloy, nitrate conversion initially decreased and then increased again, verifying the proposed electron-donator activity of Al or Fe in alloys. Al-Fe30 had the highest NO3− conversion and Al13Fe4 content, so Al-Fe30 was selected. Significant differences in conversion were observed in alloy usages of 5–10 and 15–30 g/L. High reduction performance (nitrate below the detection limit and 19.1% N2 selectivity) was achieved under the optimal conditions: 15 g/L Al-Fe30, 150 min reaction and without pH adjustment. The rate constants of nitrate removal, nitrogen generation and ammonia generation were k1 = 1.43 × 10−2, k2 = 3.41 × 10−2 and k3 = 10.58 × 10−2 min−1, respectively. The value of (k2 + k3)/k1 was 10, indicating that the conversion of nitrate into nitrite was the rate-determining step. The repetition reaction was performed, and the rate constant decreased as the reaction step was repeated.
Spatiotemporal Patterns of Heavy-Metal Pollution in Coastal Pinqing Lagoon (Southern China): Anthropogenic and Hydrological Effect
Authors: Huang Guoyao , Dong Xuhui , Xian Hanbiao , Xu Weijian , Yang Hanfei , Zhang Yuewei , Kattel Giri
Published: August 2023

Coastal lagoons connecting the land and sea provide essential ecosystem services. However, emerging environmental issues such as environmental pollution and ecological degradation from rapid socio-economic development in coastal zones of south China are becoming increasingly prevalent. This study examined the spatiotemporal variation, sources, assessments, and driving forces of heavy metals based on core and surface sediments collected from Pinqing Lagoon, a coastal lagoon in South China. Sediment cores (PQ1, PQ2, and PQ3) showed distinct vertical variations in the content of Cu, Cd, Zn, Pb, As, and Sb with an average coefficient of variation (C.V.) of 0.25. However, a relatively lower vertical variation (C.V. mean = 0.13) was shown by the other elements (Mn, V, Ni, Cr, and Co). Although Cu was the chief pollutant heavy metal and it had mean values of 1.6 and 1.7 for the enrichment factor (EF) and contamination factor (CF), respectively, Cd posed the highest ecological risk (Eri mean = 36.34). A century-scale anthropogenic disturbance and growing industrial activities in the lagoon area have caused heavy-metal pollution in Pinqing Lagoon. Wastewater discharge into the lagoon over the past 30 years has further aggravated the pollution. The land-use pattern changes in the catchment and removal of polluting industries resulted in a shift in the center of gravity of heavy-metal pollution in the surface sediment of the lagoon. When integrated with the available data, significant pollution gradients were observed suggesting that the pollution level of Pinqing Lagoon was slightly higher than the marginal sea (Honghai Bay) but significantly lower than the adjacent inland water bodies (Gongping and Chisha Reservoirs). This difference attributes unique hydrodynamic conditions to the Pinqing Lagoon, which consistently mitigates environmental pollution by lying at the interface between inland water and the coastal sea in South China. These conditions resulted in the relatively low contamination degree (CD mean = 7.5) and the low ecological risk index (RI mean = 70) over the past 150 years in Pinqing Lagoon.
Autism spectrum disorders in children: main problems and solutions
Authors:   FSBEI HE Saratov State Medical University named after V. I. Razumovsky of the Ministry of Health of Russia, Saratov, Russia, Filippova N. V. , Barylnik Yu. B. ,   FSBEI HE Saratov State Medical University named after V. I. Razumovsky of the Ministry of Health of Russia, Saratov, Russia, Kamyshonkova M. A. ,   FSBEI HE Saratov State Medical University named after V. I. Razumovsky of the Ministry of Health of Russia, Saratov, Russia, Atapina E. A. ,   FSBEI HE Saratov State Medical University named after V. I. Razumovsky of the Ministry of Health of Russia, Saratov, Russia
Published: August 2023

In recent decades, there has been an increase in the number of children suffering from autism spectrum disorders (ASD) all over the world, which determines the high relevance of early diagnosis of these disorders for timely treatment and correction. However, the diagnostic criteria for ASD require the assessment of certain psychomotor skills in a child, which mature much later than necessary for timely diagnosis, so quite often the final diagnosis is made only by 5–7 years. New clinical guidelines suggest that primary screening should be performed by a pediatrician, but practice shows that this does not happen in reality. The reasons for this are not only the contradictions in the diagnostic criteria, but also the current ICD-10 classification, which does not fully reflect the pathogenetic processes in the child's body. In the meantime, new clinical guidelines recognize the role of genetic disorders and epigenetic factors in the development of autism spectrum disorders. Currently, there are more than 100 genes associated with ASD. That is why autism spectrum disorders must be considered from the point of view of pathogenetic changes in the child's body, in many cases of a hereditary nature, which will allow offering timely and effective methods of diagnosis,treatment, and correction.
Comorbidity of schizophrenia and diabetes mellitus at the present stage of development of an interdisciplinary approach to treatment and diagnosis
Authors:   Psychiatric Clinical Hospital No. 1 named after N. A. Alekseev, Cherepakhin D. I. ,   Moscow, Aronov P. V. ,   Federal Research and Clinical Center of Specialized Types of Medical Care and Medical Technologies; Moscow
Published: August 2023

The article presents an overview of the current problem of comorbidity of schizophrenia and type 2 diabetes mellitus, the diseases that considerably limit the quality of life of patients and cause significant difficulties in patient management. We seek to clarify the current understanding of the factors contributing to the coexistence of these diseases, highlighting the potential role of genetic, epigenetic, and environmental factors in this regard. Particular attention is paid to the effect of antipsychotic drugs on glucose metabolism and the development of insulin resistance, which may contribute to the development of type 2 diabetes in patients with schizophrenia. Data from the most relevant studies on this issue are presented, and possible strategies for managing patients with these conditions are discussed. The purpose of this article is not only to collect and systematize the existing information on the comorbidity of schizophrenia and type 2 diabetes, but also to stimulate further research in this area to develop effective approaches to the diagnosis, treatment, and management of patients with these comorbid pathologies.
Sol-Jel Yöntemiyle Sentezlenen Magnezyum Oksit ve Kadmiyum Oksit Nanoparçacıkların Yapısal ve Morfolojik Özelliklerinin İncelenmesi
Authors: MACİT Cevher Kürşat , ÖZEL Cihan , GÜRGENÇ Turan
Published: August 2023

Bu çalışmada, magnezyum oksit (MgO), kadmiyum oksit (CdO) ve MgO-CdO nanoparçacıkları sol-jel sentezleme yöntemiyle üretildi. Magnezyum kaynağı olarak magnezyum asetat tetrahidrat Mg(CH3COO)2•4H2O, kadmiyum kaynağı olarak kadmiyum asetat dihidrat (C₄H₆CdO4·2H₂O) kullanıldı. Sol-jel nanoparçacık sentezleme işleminde çözücüler 80°C sıcaklıkta 4 saat manyetik karıştırıcıda çözündürülerek gerçekleştirildi. Çözünen nanoparçacıkların süzme, kurutma, havanda dövme ve tavlama işlemleri gerçekleştirildi. Sentezlenen nanoparçacıkların yapısal ve morfolojik özellikleri Alan Emisyonlu Taramalı Elektron Mikroskobu (FE-SEM), X-Işını Kırımı (XRD), Enerji Dispersiv Spektrum (EDX) ve Fourier Dönüşümlü Kızılötesi Spektroskopisi (FT-IR) analizleri ile incelendi. Yapılan analizler sonucunda XRD analizlerinde MgO ve CdO nanoparçacıklarının karakteristik piklerine rastlandı. XRD analiz sonuçlarında nanoparçacıkların karekteristik piklerinde artışlar ve kaymalar meydana geldi. MgO-CdO numunesinde hem MgO ‘nun hem de CdO ’nun kafes parametrelerinde değişiklikler meydana geldiği gözlemlendi. FE-SEM analizleri sonucunda, MgO ve CdO nanoparçacıklarının oluştukları görüldü. EDX analizlerinde Mg, O, Cd katkılarının oluştuğu ve nanoparçacıkların sentezlendiği görüldü. MgO ve CdO nanoparçacıklarının kullanım alanları göz önünde bulundurulduğunda üretilen MgO-CdO nanoparçacıklarının yarı iletken metal oksit içeren elektronik cihazlarda kullanılabileceği düşünülmektedir.
MARKA İMAJININ MARKA SATIN ALMA NİYETİNE ETKİSİ: TÜRKİYE’DE FAALİYET GÖSTEREN HAVAYOLU İŞLETMELERİ ÜZERİNDE BİR İNCELEME
Authors: KONYALİLAR Nil
Published: August 2023

Bu araştırmanın amacı havayolu müşterilerinin, Türkiye’de faaliyet gösteren havayolu işletmelerine dair marka imajı algılarının, marka satın alma niyetine olan etkisinin belirlenmesidir. Araştırmada marka imajı, teknik-işlevsel imaj, duygusal-hissel imaj ve sembolik-sosyal imaj olmak üzere üç alt faktör olarak ele alınmıştır. Araştırmanın evrenini Türkiye’de faaliyet gösteren havayolu işletmelerini tercih eden bireyler oluştururken, evrenin geniş olması nedeniyle örneklem seçiminde bulunulmuştur. Basit tesadüfi örneklem metodu kullanılarak çevrimiçi platformda toplam 399 anket formu doldurtulmuştur. Araştırma verileri Mart-Haziran 2022 tarihleri arasında elde edilmiştir. Veri analizi sürecinde SPSS ve Amos istatistik programları kullanılmıştır. Araştırma sonuçlarına göre teknik, duygusal ve sembolik marka imajının marka satın alma niyeti üzerinde pozitif yönde anlamlı bir etkisi olduğu bulunmuştur. En yüksek etki sırasıyla; sembolik, duygusal ve teknik marka imajı olarak tespit edilmiştir.
Evulation Metal of Contamination by Natural Background and Average Earth's Crust Values in The Inci Stream Sediments Around Chromite Deposits in Guleman (Alacakaya-Elazığ), Turkey
Authors: KARA Hatice
Published: August 2023

The total concentration of elements in the Inci stream sediments on the drainage network of chromite deposits was determined to evaluate the level of contamination by natural background, the average of ultramafic and mafic rocks in this study. The average concentration shows that toxic heavy metals originated from mineraliszing in the Inci stream sediments that have a controlling influence on accumulation and transportation both lithologically and anthropogenically. The metal enrichment factors of Pb, As, Ni, Sr, and Ba, and geoaccumulation factor values (Igeo) of Pb, As, Sr, Ba, and Rb indicated that these values are higher than background values and heavily contaminated. The highest metal concentrations and assessments of contaminants were obtained from ultramafic rock normalization. Enrichment factor (EF), contamination factor (CF), and Igeo values indicate that primary ore metals are represented by Pb, Cu, Mn, Ni, and Cr. Cr's enrichment factor (EF) is moderate contamination due to the high Cr concentration in the host rock. However, Cr is extremely contaminated according to the Earth's average in the stream sediments around the chromites deposit. The calculated Cu, Ni, and Cr threshold values are higher than the probable effect level (PEL) and threshold effect level (TEL). That is why these regions should be evaluated for relationships between human health and geochemistry in further multidisciplinary studies and considered important in terms of potential Cr, Cu, Mn, Ni, Pb and Zn mineralization.
Shrinkage Estimation and Bootstrap Confidence Interval for Scale Parameter of Laplace Distribution
Authors: ÖZDEMİR Şenay , EBEGİL Meral
Published: August 2023

In this study, a biased estimator is proposed for the scale parameter of Laplace distribution. First, it is theoretically shown that the mean square error of the biased estimator is smaller than that of the maximum likelihood estimator. Then the maximum likelihood estimator is compared with the obtained biased estimator by means of a simulation study using the relative efficiency of these estimators. In addition, confidence intervals are constructed for the scale parameter of Laplace distribution with bootstrap method in order to compare them with each other in a different way.
Kübik HfZnO3 Bileşiğinin Yapısal, Mekanik ve Termodinamik Özelliklerinin ab Initio Yöntemi ile İncelenmesi
Authors: ÖZER Tahsin , ARIKAN Nihat , İHSAN Ali
Published: August 2023

Açık kaynak Quantum Espresso (QE) kodu ile kübik, Pm-3m uzay grubu(no:221) HfZnO3 bileşiğinin yapısal optimizasyonu ile örgü sabiti 3,78 Å olarak tahmin edildi. Hesaplanan bu değer önceki teorik çalışma ile mükemmel uyum sağlamaktadır. Ortam basıncında hesaplanan elastik sabitleri C11(304,8), C12(134,3) ve C44(19,1) GPa. Hesaplanan elastik sabitlerinden elastik modül, anizotropi, sertlik, erime sıcaklığı, Debye sıcaklığı gibi mekanik ve termodinamik özellikler incelendi. Yapılan hesaplamalar sonucunda HfZnO3 bileşiği mekanik olarak kararlı, yumuşak ve sünek karakterde olduğu görüldü. Quasi-harmonik model ile 0-800 K sıcaklığında titreşim enerjisi, serbest enerji, entropi ve özgül ısı kapasitesi değerlendirildi.
New steps against scientific gerrymandering: A new operational definition of geographic information science
Authors: Carlos López-Vázquez  , Gonzalez-Campos María Ester , Bernabé-Poveda Miguel Ángel
Published: August 2023

Sometimes there are clear and natural limits to the scope of action of a science, and in other cases they are simply convenient ones. Geographic Information Science (GISc) is a transversal science, with contacts with all geosciences but also with various formal sciences such as Mathematics, Logic and Computer Science. A first approach to specifying the limits of a science is through its definition. Definitions of GISc are often so expansive that they have been rightly criticized for practicing gerrymandering, in particular with the rest of the geosciences. To avoid this, an operational definition is proposed that places GISc among the sciences that handle Data and not Information. This solves the gerrymandering problem without really implying a significant cut of what is usually considered within GISc. As an unforeseen consequence, this delimitation will allow it to be characterized as Formal Science, leaving it as the only geoscience with this characteristic.
Pemanfaatan Knowledge Management System (KMS) untuk pengolahan kripik pisang pada UMKM desa Karangasem Kec. Talun Kab. Pekalongan Jawa Tengah
Authors: Fanani M. Rudi , Rizaludin Muhamad , Hidayat Husni
Published: August 2023

Knowledge Management System (KMS) berbasis teknologi informasi dilakukan sebagai upaya terstruktur dalam mengembangkan pengetahuan untuk meningkatkan kinerja organisasi dan mencapai tujuan yang ditetapkan. Efektivitas Knowledge Management System merupakan persoalan mendasar dalam setiap organisasi . Knowledge Management System telah diakui sebagai instrumen yang efektif untuk meningkatkan kinerja dan produktivitas suatu organisasi termasuk di bidang UMKM. Berbagai kegiatan dilaksanakan dalam mengelola UMKM salah satunya dalam penerimaan bahan baku usaha yang akan diproduksi dan penyediaan stok barang. Tidak adanya wadah dalam mendokumentasikan dan mendistribusikan jejak pengetahuan yang relevan untuk pengembangan UMKM kepada pihak terkait menjadi akar permasalahan, Banyak pelaku UMKM sulit mengakses atau mendapatkan informasi mengenai bahan baku yang digunakan dan stok yang dibutuhkan.         
Kendala yang terjadi berkenaan dengan implementasi Knowledge Management System UMKM adalah belum ada teknologi informasi sebagai media yang digunakan untuk mengakses hal tersebut. Hal ini mengakibatkan pertukaran pengetahuan dan penyimpanan aset pengetahuan belum terkelola dengan baik. implementasi KMS dibuat mengikuti model Sosialisasi, Eksternalisasi, Kombinasi, dan Internalisasi yang dinamakan model SECI. Pengumpulan data dilakukan pada beberapa pelaku UMKM yang ada di desa Karangasem Kec. Talun salah satunya usaha Kripik Pisang. Hasil dari kegiatan pengabdian masyarakat ini terbentuknya KMS yang dapat digunakan untuk penentuan bahan baku dan stok selanjutnya berdasarkan pengelolaan pengetahuan yang berguna dalam menyelesaikan kendala yang terjadi.
Komputerisasi Akuntansi Pengendalian Bahan Baku Berbasis Vb.Net Pada PT. Unicharm Indonesia
Authors: Widyaningsih Winda , Indaryono Indaryono , Tjandra Evelyn
Published: August 2023

Salah satu kegiatan yang paling penting bagi perusahan dalam menjalankan operasionalnya adalah pengelolaan persedian bahan baku yang sesuai dengan kebutuhan produksi. Proses pengadaan bahan baku dengan cepat dan akuratdan ketersediaannya sangat menunjang kelancaran proses produksi. Penelitian ini bertujuan untuk merancang aplikasi pengendalian bahan baku PT. Unicharm  Indonesia Metode penelitian yang digunakan untuk menyelesaikan maslah adalah dengan menggunakan metode analisa sistem dan metode perancangan sistem. Metode analisa sistem terdiri dari: Identifikasi struktur, organisasi, Identifikasi sistem yang berjalan, Identifikasi permasalahan yang terjadi, Perumusan solusi. Sedangkan metode perancangan sistem terdiri : Rancangan masukan dan keluaran, rancangan peroses terdiri dari: DFD, Kamus data dan ERD, dan rancangan DataBase. Hasil penelitian ini adalah aplikasi pengendalian bahan baku pada PT. Unicharm Indonesia berbasis VB.NET serta memberikan rekomendasi dalam mengelola bahan baku agar lebih efektif dan efisien.
Total Rejection Sampling and the Reduction of the Wave Function
Authors: kermiche noureddine
Published: August 2023

 We propose an exact new sampling algorithm using classical statistical theory. The algorithm is powered by white noise and non-local information. The proposed method will process an infinite number of rejected samples in parallel before accepting one exact single sample from a target distribution using an optimization mechanism. The algorithm is applied to sampling from general distributions in addition to sampling from the wave function density distribution which lies at the heart of the measurement problem in quantum physics. 
SatNet: A Low-Cost, Neural-Network based Algorithm Utilizing Publicly Available Data for Disease Hotspot Detection
Authors: Sandhu Parkirat
Published: August 2023

The rapid spread of infectious diseases poses a significant global health challenge, requiring timely and accurate detection for effective intervention. Traditional disease detection services, such as the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO), play a crucial role in monitoring and responding to outbreaks. However, these services are largely inaccessible to people around the world due to their high costs and resource-intensive processes because they often rely on expensive sources of data. Fortunately, satellite images are a great alternative source of data as modern satellites can provide detailed images which clearly display a region’s financial status and pollution levels: two key metrics in potential disease outbreaks. Therefore, this study aimed on developing a more affordable algorithm (SatNet) that utilizes publicly available satellite imagery to perform disease hotspot detection. The algorithm works by retrieving zoomed-in satellite images of the city inputted by the user and feeding these images into a novel, hybrid recursive convolutional neural network. This model, designed to classify regions within the images as low income, high-income, or industrial areas, was trained and tested on a custom data set consisting of 7,448 images and was able to achieve a 94.872 training accuracy and 84.183 testing accuracy. The output of this model is then used to create a detailed heatmap for the city which clearly indicates the specific regions in most danger of disease outbreaks. Overall, the affordability and accessibility of SatNet will allow governments/organizations around the world to provide their people with the healthcare they need and significantly reduce the spread of diseases in an increasingly interconnected world. 
Review of SIR Calculations for Distance Protection and Considerations for Inverter-Based Resources
Authors: Chowdhury Ritwik , Sun Carolyn , Taylor Douglas
Published: August 2023

Source-to-line Impedance Ratio (SIR) is a parameter used in the application of distance protection. IEEE Std C37.113-2015 (Line Protection Guide) presents a method to calculate SIR for three-phase faults and single-line-to-ground faults. This method has been incorporated into short-circuit programs and is used by practitioners. However, the method uses assumptions that produce erroneous results in systems with zero-sequence mutual coupling and in systems with inverter-based resources. This paper reviews the evolution of SIR calculations (methods) and advocates the use of newer and simpler SIR calculations that remain accurate for all distance protection applications.
Sales Forecasting Based on Ensemble Learning
Authors: Alice Dr K. , Andrabi Syed Hamad ul Haq , Jha Shambhavi
Published: August 2023

Sales forecasting is the process of estimating future sales revenue for a given time period. It is an essential business function that helps organizations make informed decisions about future investments, production planning, and resource allocation. Sales forecasting is a vital process for businesses that want to plan, budget, invest, evaluate performance, and gain a competitive advantage It's important to note that some degree of uncertainty is always present and no algorithm can work perfectly for sales forecasting. However, by using a combination of methods and regularly reviewing and adjusting forecasts, organizations can make more accurate sales predictions and make better-informed business decisions. 

 Our goal through this project is to compare performance of various models for sales forecasting and also try out an ensemble approach as well to see if the efficiency and accuracy of the model can be get better as compared to the singular models. For a dataset of the size of the Walmart data set, it is very important to choose the best algorithm which not only shows accuracy but efficiency as well. There are various machine learning models that can be used for sales prediction, including linear regression, decision trees, random forests, gradient boosting, neural networks, and support vector machines. We need to consider the strengths and weaknesses of each model and select the one that best fits the characteristics of the data and the problem we want to solve. 

The models that will be implementing for this study are XGBoost, LGBM and Catboost. These are gradient boosting models and extremely suitable for large datasets with regression which use regression techniques. Catboost uses symmetric trees while XGBoost and LGBM use asymmetric trees where XGBoost grows level wise and LGBM grows leaf wise. All three models have their own advantages which we need to utilize and see how much better the accuracy can be made. Among the three XGBoost has the advantage of flexibility and scalability, and can also be customized to fit the best hyper parameters. LGBM is the best when it comes to memory efficiency as well as the overall efficiency of the model. However we expect CatBoost which is a special version of GBDT to have the overall best accuracy. The performance of a machine learning model must be evaluated using appropriate metrics such as mean absolute error, mean squared error, root mean squared error, R-squared, and others. To utilize all the models and to try to reach the full potential of each model we will also implement a hybrid ensemble model in the form of a voting regressor. This helps remove any biases that the individual models may have and to enhance the overall performance of the model. For the voting regressor we will be using MAE values of each model to assign scores.  
Network Virtualization Empowered Metaverse: A Hierarchical Matching Approach
Authors: Khan Latif U. , Guizani Mohsen , Yaqoob Ibrar , Al-Fuqaha Ala , Erbad Aiman , Han Zhu
Published: August 2023

Metaverse has generated significant interest for enabling wireless systems due to its self-sustainability and proactive analytic capabilities. It enables the deployment of meta spaces featuring avatars and digital twins for various real-world applications. However, it has become challenging to efficiently deploy meta spaces on edge/cloud environments while managing communication and computing resources effectively. In this paper, we propose a novel network virtualization framework within a shared system to make the deployment of meta spaces for various metaverse applications cost-efficient. The framework abstracts, isolates, and facilitates the sharing of wireless and computing resources, thereby enhancing flexibility and efficiency for metaverse-driven applications. It involves three key players: network operators (selling resources), metaverse operators (managing transactions), and end-users (purchasing resources). An optimization problem is formulated to optimize the wireless resource allocation, computing resource allocation, association of end-devices with meta spaces deployed at the network operators' base stations, communication resource cost, and computing resource cost. We address the formulated NP-Hard mixed integer non-linear programming (MINLP) problem using decomposition, convex optimization, and hierarchical matching. Numerical results confirm the validity of the proposed approach.
Natural Number Infinite Formula and the Nexus of Fundamental Scientific Issues
Authors: Zaman Budee U
Published: August 2023

Within this paper, we embark on a comprehensive exploration of the profound scientific issues intertwined with the concept of the infinite within the realm of natural numbers. Through meticulous analysis, we delve into three distinct perspectives that shed light on the nature of natural number infinity. By considering the framework of time reference, we confront and address the inherent challenges that arise when contemplating the infinite. Furthermore, we navigate the intricate relationship between the infinite and fundamental scientific questions, seeking to unveil novel insights and resolutions. In a departure from conventional viewpoints, our examination of natural number infinity takes on a relativistic dimension, scrutinizing the role of time and the observer’s perspective. Strikingly, as we delve deeper into the foundational strata, we uncover the pivotal significance of relativity not only in physics but also in mathematics. This realization propels us towards a more holistic and consistent mathematical framework, underlining the inextricable link between the infinitude of natural numbers and the essential constructs of time and perspective.
Analisis Kebutuhan Pengembangan Media Komik Digital Penerapan Sila Pancasila Berbasis Masalah Dalam Pembelajaran PPKn Sekolah Dasar
Authors: Akbar Mohamad Sabda Fariz , Satibi Otib , Hasanah Uswatun
Published: August 2023

Penting nya pendidikan  Pancasila  sebagai  literasi  moral  pada  anak sekolah  dasar  di  era  revolusi industri 4.0 menjadi hal yang semakin di upayakan penerapannya. Meninjau dari data-data yang mem posisikan Indonesia sebagai negara dengan kategori negatif, hal ini cukup men deskripsikan kondisi psikologis  warga  Indonesia cenderung  mengalami penurunan moral atau degradasi  moral. Beberapa faktor yang dapat berpengaruh positif dalam kegiatan belajar anak, khususnya SD salah satunya adalah penggunaan media pembelajaran. Media pembelajaran yang akan digunakan untuk menumbuhkan motivasi dan minat belajar anak adalah media pembelajaran komik digital. Komik digital yang akan saya buat berbeda dengan komik digital yang umum beredar, selain menampilkan gambar, saya juga akan menambahkan beberapa fitur audio sebagai pengisi beberapa dialog atau sebagai efek suara bagian cerita. Tujuan analisis kebutuhan media ini adalah hanya untuk memahami media yang biasanya digunakan oleh guru/pendidik pada saat pembelajaran PPKn khusus nya materi sila-sila Pancasila. Penelitian analisis kebutuhan ini termasuk ke dalam penelitian survei dengan cara pengumpulan data melalui kuesioner dan wawancara yang di kategorikan sesuai kebutuhan sasaran. Diperolah hasil penelitian bahwa penggunaan tingkat ketertarikan anak terhadap media komik digital sebesar 94%, penggunaan media komik sebesar 75%, dan tanggapan positif hadir nya komik dalam pembelajaran PPKn sebesar 97%.
Clinical and Diagnostic Findings Among Tubercular Meningitis Patients without Pulmonary Signs and Symptoms
Authors: Quayum Sayat , Miah Md. Titu , Ferdous Tanzila , Shahaly Suriya , Chowdhury Sayeda Moni , Yousuf Faisal Bin , Ahmed Syed Mohimeen
Published: August 2023

Background: Tubercular meningitis (TBM) is the most frequent one among the different forms of CNS tuberculosis. Early diagnosis, as well as treatment of tubercular meningitis (TBM), can give an excellent outcome with minimal residual morbidity. Clinical and diagnostic findings of patients without pulmonary signs and symptoms may be useful for the treatment of suspected tubercular meningitis patients. Aim of the study: This study aimed to make a patient profile on the clinical and diagnostic findings of tubercular meningitis patients without pulmonary signs and symptoms. Methods: This cross-sectional study was conducted in the Department of Medicine, Dhaka Medical College Hospital (DMCH), Dhaka, Bangladesh, from September 2020 to August 2021. A total of 77 confirmed cases of tubercular meningitis without pulmonary signs and symptoms admitted to the mentioned hospital were enrolled in this study as the study population. A purposive sampling technic was used in sample selection. Along with the clinical and diagnostic findings, all relevant information was recorded in a data collection sheet. Results: In this study, 61% of the study population had a family history of TB. Among all the patients, all had fever, 80.5% had headache, 68.8% had altered sensation, 62.3% had anorexia and nausea, 55.8% had vomiting, 19.5% had a convulsion and 15.6% had neck stiffness. In our settings, the majority (46.8%) of the respondents had TBM Grade II. The mean WBC count was 134.80±34.59 106/L, Lymphocyte (%) was 79.49±11.77, Glucose was 26.49±5.43 mg/dl, Protein was 142.8±72.5 and ADA level was 12.08±1.29 U/L. In our settings, 58.4% of the respondents had Mantoux test and 36.4% showed chest X-ray positive. In this study, 22.1% of the respondents had CT scan or MRI findings normal. Conclusion: A family history of tuberculosis may be a potential factor for TBM. Fever, headache, altered sensation, anorexia/nausea and vomiting are very common clinical features in such patients. Chest X-ray ..
A Case of IgM Multiple Myeloma with Symptomatic Anemia and Extensive Lymphadenopathy
Authors: Filali Imane Ait El , Haidouri Soukaina , Maachi Nora El , Benlachgar Naoufel , Maamar Mouna , Harmouche Hicham , Mezalek Zoubida Tazi
Published: August 2023

Immunoglobulin M multiple myeloma (IgM MM) is a rare variant of multiple myeloma (MM) accounting for less than 1% of all MM cases. In contrast, the majority of patients with MM demonstrate monoclonal IgG (52%) or IgA (21%) in their serum and urine. The clinical presentation of IgM MM can overlap with that of Waldenstrom's macroglobulinemia (WM), making it challenging to establish an accurate differential diagnosis. In this report, we present a case of IgM multiple myeloma in a patient who exhibited symptomatic anemia, extensive lymphadenopathy, and cytogenetic abnormalities commonly associated with this subtype. We provide a detailed account of the diagnostic evaluation, treatment approach, and subsequent response observed in this patient.