bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Musical Orchestra Leadership: An Imagery of Participative and Relational Societal Leadership Style
Authors: ODUNUGA Adeola Funmilayo , Yekini-Ajenifuja Isaac A. 
Published: September 2022

The issue of leadership in society has been of major concern from times immemorial, this is because it is believed that the quality of leadership is one of the major determinants of societal development. The existing societal leadership style in Nigeria seems not to help the populace in meeting societal needs and satisfying human aspirations, hence there is a need for an improved leadership style that will help in the attainment of societal and individual goals. Using existing leadership theories, this paper explains the ideals of a good participative and relational leadership style using metaphoric inference of an orchestra and its conductor. The study is an ethnographic study that used oral interviews and other qualitative techniques to obtain its information. The research discovered that with a competent leader (conductor) at the head of a team of members (the orchestra), society is capable of doing great as long as everyone does their specific roles. Societies will fare well if the ideas of this imagery are adopted. The paper recommends that the younger generation should be encouraged to learn and adopt participative and relational leadership styles.
3D sensor network location spatial positioning technology based on machine learning
Authors: Lu Zhiyong , Tan Xiaodan 
Published: September 2022

Abstract
The purpose of this paper is to combine machine learning to locate the 3D sensor network space. Real life is mostly a three-dimensional environment. Whether it is a factory in manufacturing or a vegetation base in agriculture, it needs to be monitored and positioned. In this paper, the localization algorithm is discussed to a certain extent. This paper firstly introduces the relevant background and organizes related work. It also wrote related algorithms, such as ranging-based positioning algorithms in the free space of wireless sensors. It shows the positioning link by introducing the wireless sensor network structure system and node structure. And this paper summarizes the Bounding-box Method positioning principle, TDOA algorithm principle, and TDOA positioning principle. It then describes the gradient boosting tree classification algorithm based on machine learning, and focuses on the admiral boosting tree classification algorithm related to the experiment. This paper also describes the ranging technology combining RSSI algorithm and DV-Hop algorithm in three-dimensional space, and mentions two algorithms of RSSI and DV-Hop. In the fourth part, the machine learning coordinate prediction accuracy improvement experiment and the three-dimensional space positioning algorithm optimization experiment and result analysis are carried out. It is proved by experiments that the model evaluation effect of the gradient boosting tree classification algorithm in machine learning is the best. It can be applied to the calculation of relative position coordinates of label nodes. It then carried out the three-dimensional positioning effect test experiment of IDV-Hop algorithm. This shows that when the network density in the experimental environment reaches more than 12, the localization coverage of IDV-Hop algorithm and DV-Hop algorithm are both higher than 91%. Finally, the hybrid algorithm of RSSI and DV-Hop algorithm is used to compare the positioning accuracy, positioning coverage and bad node rate with these two algorithms. It draws the stability of the hybrid algorithm and its effects, and finally discusses and summarizes the experiments.
Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality”
Authors: Pearl Judea 
Published: September 2022

Abstract
In a recent issue of this journal, Philip Dawid (2021) proposes a framework for causal inference that is based on statistical decision theory and that is, in many aspects, compatible with the familiar framework of causal graphs (e.g., Directed Acyclic Graphs (DAGs)). This editorial compares the methodological features of the two frameworks as well as their epistemological basis.
Continuous glucose monitoring in an infant with panhypopituitarism having hypoglycemia on growth hormone therapy
Authors: Kiuchi Kaho , Sato Takeshi , Nakano Satsuki , Ishii Tomohiro , Hasegawa Tomonobu 
Published: September 2022

Abstract

Objectives
The usefulness of continuous glucose monitoring (CGM) in infants with panhypopituitarism (PH) having hypoglycemia is yet to be explored. The potential adverse effects of growth hormone (GH) replacement therapy, such as hyperglycemia, cannot be comprehensively evaluated using the conventional measurement.

Case presentation
A 2-month-old infant with PH, including severe GH deficiency, had hypoglycemia despite frequent feeding. Glucose levels were monitored using CGM before and after GH replacement therapy. The proportion of time for hypoglycemia decreased from 4.9 to 0% (p<0.017). Hyperglycemia did not increase. The CGM method did not contribute to any adverse events requiring intervention. Our patient only experienced minor bleeding and no episode of cellulitis.

Conclusions
CGM is useful in controlling glucose levels in infants with hypoglycemia and PH.
No pubertal growth spurt, rapid bone maturation, and menarche post GnRHa treatment in girls with precocious puberty
Authors: Briscoe Audrey , Chen Katherine , Klein Karen O. 
Published: September 2022

Abstract

Objectives
To study total growth, rate of bone maturation, and menarche after discontinuation of Gonadotropin releasing hormone agonist (GnRHa) treatment for central precocious puberty (CPP).

Methods
Twenty girls with CPP on treatment with GnRHa were followed from discontinuation of treatment to final height (FH). Height, height velocity (HV), and bone age were measured every 6 months. Age at menarche was collected.

Results
Once treatment is discontinued, rate of bone maturation (bone age [BA]/chronological [CA]) accelerated from 0.7 ± 0.3 at end of treatment to 1.2 ± 0.8 post treatment, similar to BA/CA prior to treatment. BA at treatment discontinuation ranged from 11–14 years. On average, treatment was stopped when CA was within 9 months of BA. All girls continued to grow from end of treatment to menarche averaging an increase of 4.7 ± 3.7 cm, with HV 3.2 ± 2.0 cm/year. Post-menarche they grew an additional 4.6 ± 2.1 cm, with HV 2.4 ± 1.9 cm/year. Acceleration of HV was not seen post treatment. The younger the BA at initiation or completion of treatment, the longer time to menarche. No one had menarche prior to a BA of 12.5 year.

Conclusions
A pubertal growth spurt does not usually occur after treatment with GnRHa in girls with CPP. Rate of bone maturation accelerates post treatment. These factors are important in assessing optimal height outcome and decisions regarding cessation of treatment. This study will help clinicians give patients and families better estimates of growth and onset of menarche post treatment.
TGF-β1 upregulates Sar1a expression and induces procollagen-I secretion in hypertrophic scarring fibroblasts
Authors: Ahn Keun Jae , Kim Jun-Sub 
Published: September 2022

Abstract
Hypertrophic scarring (HTS) is a common fibroproliferative disorder that typically follows thermal and other injuries involving the deep dermis. The underlying pathogenic mechanisms are regulated by transforming growth factor-β (TGF-β); however, the exact mechanisms in HTS have not been elucidated. We conducted this study to explore the cellular signaling mechanisms for expression of Sar1a, a coat protein complex II-associated small GTPase, in HTS fibroblasts (HTSF). We found that Sar1a was upregulated in HTSF as compared to that in normal fibroblasts. Furthermore, stimulation of TGF-β1 increased the expression of Sar1a in HTSF, and small interfering RNA for Sar1a suppressed procollagen-I (PC-I) secretion. Next we investigated the signaling mechanism from TGF-β1 to Sar1a expression and its association with PC-I secretion. In the presence of TGF-β-activated kinase 1 (TAK1), c-Jun N-terminal kinase, or p38 inhibitors, the effect of TGF-β1 on Sar1a expression and PC-I secretion significantly decreased; however, it had no effect on collagen-1A (Col-1A) expression. Further, the inhibitors of Smad3 or extracellular signal-regulated kinases inhibited TGF-β1-induced Col-1A expression but had no effect on PC-I secretion and Sar1a expression. Taken together, our results suggested that TGF-β1 induces Sar1a expression through TAK1 signaling and this signaling event regulates PC-I secretion in HTSF.
Entropy production simulation of second-grade magnetic nanomaterials flowing across an expanding surface with viscidness dissipative flux
Authors: Jamshed Wasim , Gowda Ramanahalli Jayadevamurthy Punith , Kumar Rangaswamy Naveen , Prasannakumara Ballajja Chandrappa , Nisar Kottakkaran Sooppy , Mahmoud Omar , Rehman Aysha , Pasha Amjad Ali 
Published: September 2022

Abstract
The principal focal point of the current review is the second-grade nanofluid (SGNF) stream with slanted magnetohydrodynamics and viscous disintegration impacts across a moving level flat surface with entropy investigation. Here, we have done a comparative study on copper–methanol and iron–methanol second-grade nanoliquids. The governing conditions of the SGNF model are changed into ordinary differential equations (ODEs) by using supportive changes. To tackle the non-straight ODEs, the Runge-Kutta Fehlberg-45 procedure is utilized. The result reveals that the velocity gradient of copper–methanol second-grade nanoliquid is strongly affected by suction, magnetic, and second-grade fluid parameters and declines faster when compared to iron–methanol second-grade nanoliquid. Copper–methanol SGNF shows improved heat transfer than iron–methanol SGNF for improved values of Eckert and Biot numbers.
“‘Peewit,’ said a peewit, very remote.” – Notes on quotatives in literary translation
Authors: Vișan Nadina 
Published: September 2022

Abstract
The present article focuses on strategies of translating fiction quotatives from English into Romanian. Starting from the definition of quotatives as structures that in their simplest form consist of a subject and a quoting verb and accompany a quotation, I have selected two samples of literary text and their respective multiple versions so as to investigate patterns in which these structures are translated. Because, as pointed out in the literature, fiction quotatives describe narrative-advancing events and contribute to the development of characters, the investigation of how fiction quotatives are translated (in particular how say, the most frequently used verb in quotatives, is treated in translation) might prove to offer valuable insight for literary translation studies, correlating tendencies that seem to be cross-linguistic. For instance, it has been demonstrated that in Spanish there is a tendency of replacing the generic quoting verb say with other manner of speaking verbs. This may be seen as a form of “enrichment” as a translation strategy. The article advances the hypothesis that a similar phenomenon can be attributed to Romanian and links this phenomenon to parametric variation in English and Romance.
Modeling, simulation and mixing time calculation of stirred tank for nanofluids using partially-averaged Navier–Stokes (PANS) k

u
− ϵ

u
turbulence model
Authors: Maji Srimanta , Sahu Akshaya K. 
Published: September 2022

Abstract
The present study deals with the numerical simulation of stirred tank in the presence of nanofluids to see the effect of different volume fraction (ϕ) of nanoparticles on the behaviour of flow characteristics and for the calculation of mixing time in the entire tank. The flow is assumed to be steady, axisymmetric, two dimensional and incompressible. For the simulation of flow inside the vessel, partially-averaged Navier–Stokes (PANS) k

u
− ϵ

u
turbulence model is used. Control volume method has been taken to descretize the governing equation along with power-law schemes. Further, semi-implicit method for pressure-linked equations revised (SIMPLER) algorithm and line-by-line tri-diagonal matrix algorithm (TDMA) have been taken to obtain the solution. The objective is to investigate the influence of ϕ on the characteristic flow variables and to calculate mixing time for different ϕ of nanofluids and for different values of f

k
, PANS model parameter. It is noted that with the increase in ϕ, mixing time has also been increased and it increases very fast for PANS k

u
− ϵ

u
model with the increase in filter width f

k
.
Malic acid: fermentative production and applications
Authors: Yadav Mukesh , Sehrawat Nirmala , Kumar Sunil , Sharma Anil Kumar , Singh Manoj , Kumar Amit 
Published: September 2022

Abstract
Microbial metabolites have gained lot of industrial interest. These are currently employed in various industries including pharmaceuticals, chemical, textiles, food etc. Organic acids are among the important microbial products. Production of microbial organic acids present numerous advantages like agro-industrial waste may be utilized as substrate, low production cost, natural in origin and production is environment friendly. Malic acid is an organic acid (C4 dicarboxylic acid) that can be produced by microbes. It is also useful in industrial sectors as food, chemicals, and pharmaceuticals etc. Production/extraction of malic acid has been reported from fruits, egg shells, microbes, via chemical synthesis, bio-transformation and from renewable sources. Microbial production of malic acid seems very promising due to various advantages and the approach is environment-friendly. In recent years, researchers have focused on fermentative microbial production of malic acid and possibility of using agro-industrial waste as raw substrates. In current article, malic acid production along with applications has been discussed with recent advances in the area.
Properties of fresh and hardened self-compacting concrete incorporating rice husk ash: A review
Authors: Zhang Peng , Wei Shiyao , Cui Guo , Zhu Youcai , Wang Juan 
Published: September 2022

Abstract
Rice husk is considered as a waste product of farming. However, rice husk ash (RHA) has a good pozzolanic activity, which can be used in cement-based materials as a supplementary cementitious material (SCM), and it is also suitable for self-compacting concrete (SCC). This study reviews the physical and chemical properties of RHA and the properties of RHA–SCC mixtures such as fresh properties (crucial factors and evaluation methods of workability for fresh SCC), mechanical properties (compressive strength, splitting tensile strength, flexural strength, and modulus of elasticity), and durability (water absorption and sorptivity, acid resistance, chloride penetration resistance, electrical resistivity, and alkali silica reaction). It was observed that the workability of SCC decreases with an increase in the incorporation rate of RHA. An incorporation rate of RHA in the range of approximately 15–20% enhances the mechanical properties and durability of SCC. The incorporation of RHA into SCC can reduce the environmental burden of rice husk treatment, and promote sustainable development of cement industries and reduce the cost of SCC.
Hippocampal-Prefrontal θ Coupling Develops as Mice Become Proficient in Associative Odorant Discrimination Learning
Authors: Ramirez-Gordillo Daniel , Bayer K. Ulrich , Restrepo Diego 
Published: September 2022

AbstractLearning and memory requires coordinated activity between different regions of the brain. Here, we studied the interaction between infralimbic medial prefrontal cortex (mPFC) and hippocampal dorsal CA1 during associative odorant discrimination learning in the mouse. We found that as the animal learns to discriminate odorants in a go-no go task, the coupling of high-frequency neural oscillations to the phase of θ oscillations (θ-referenced phase-amplitude coupling or tPAC) changes in a manner that results in divergence between rewarded and unrewarded odorant-elicited changes in the θ phase-referenced power (tPRP) for β and γ oscillations. In addition, in the proficient animal there was a decrease in the coordinated oscillatory activity between CA1 and mPFC in the presence of the unrewarded odorant. Furthermore, the changes in tPAC resulted in a marked increase in the accuracy for decoding contextual odorant identity from tPRP when the animal became proficient. Finally, we studied the role of Ca2+/calmodulin-dependent protein kinase IIα (CaMKIIα), a protein involved in learning and memory, in oscillatory neural processing in this task. We find that the accuracy for decoding the contextual odorant identity from tPRP decreases in CaMKIIα knock-out mice and that this accuracy correlates with behavioral performance. These results implicate a role for tPAC and CaMKIIα in olfactory go-no go associative learning in the hippocampal-prefrontal circuit.
Systematic Literature Review terhadap Pemanfaatan Internet of Things (IoT) dalam Bidang Kesehatan
Authors: Adauwiyah Hofifah Isma , Kamaluddin Muhammad Ridho , Al Kautsar Ryo Figo , Fitroh Fitroh 
Published: September 2022

Saat ini Internet of Things (IoT) semakin berkembang pesat. Dengan teknologinya yang canggih, IoT mampu memberikan berbagai dampak positif, seperti efisiensi, efektivitas dan kecepatan dalam melakukan tugas tertentu, terutama dalam bidang kesehatan. Keberadaan IoT dalam bidang kesehatan ini sangat penting dalam memantau kondisi pasien secara cepat dan praktis. Banyaknya penelitian tentang pemanfaatan IoT di bidang kesehatan dapat membantu peneliti atau pihak terkait dalam melakukan pengembangan IoT di dunia medis. Oleh karena itu, diperlukan literature review terkait pemanfaatan IoT di bidang kesehatan agar informasi dapat diklasifikasikan secara sistematis. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis penelitian-penelitian terbaru terkait pemanfaatan IoT di bidang kesehatan dari tahun 2020 sampai 2021 menggunakan metode Systematic Literature Review (SLR) dengan bantuan tools Publish or Perish, Mendeley, Zotero, dan Microsoft Excel. Hasil penelitian menunjukkan bahwa dari 129 artikel IoT pada Quartile 1 tahun 2020-2021, terdapat 10 artikel terkait IoT di bidang kesehatan yang terbagi menjadi 4 topik, di mana topik yang paling banyak diteliti adalah dampak langsung IoT di bidang kesehatan, yaitu dengan persentase sebesar 50%, lalu diikuti topik efisiensi pengiriman data terkait penggunaan IoT di bidang kesehatan sebesar 20%, masalah keamanan terhadap IoT di bidang kesehatan sebesar 20%, serta penggunaan atau pemakaian energi pada IoT di bidang kesehatan sebesar 10%.
Performance of Multi-Criteria Recommender System Using Cosine-Based Similarity for Selecting Halal Tourism
Authors: Nadhifah Rizqi Aulia , Arif Yunifa Miftachul , Nurhayati Hani , Angreani Linda Salma 
Published: September 2022

Tourism is an activity where people or groups travel voluntarily for relaxation, seeking entertainment, or enjoy cultural diversity both within the city, outside the city, or even abroad. For traveling, information about halal tourism is essential that tourists must know. Tourists can contact a tour guide to find information and recommendations for halal tourism. However, it will cost quite a bit and need for a recommendation system to obtain recommendations and make it easier for tourists to determine which halal tourism to visit. This study aims to obtain the Multi-Criteria Recommender System's (MCRS) performance using cosine-based similarity to select halal tourism in Batu City. MCRS extends the traditional approach by using more than one scoring criteria to generate recommendations. The implementation of MCRS using cosine-based similarity succeeded in producing the five highest recommendations for halal tourist attractions, which were implemented in a game-based system. Through recommendation accuracy testing on two items, three items, four items, and five tourist attractions items, we obtained an average accuracy is 77,95%.
Assessment of fear factors and practice related modifications in response to COVID-19 pandemic outbreak among dental practitioners in Thiruvananthapuram District, Kerala
Authors: Mohamed Shahana C , Ambika Suchitra , Pereira Shibu Godfrey 
Published: September 2022

Dentists are more vulnerable to the SARS-CoV-2 virus infection as they work close to the patient and viral transmission by saliva has proven to be the commonest source of disease transmission. In this scenario, it is natural for dental practitioners to be afraid of getting infected with COVID-19. As a strategy to continue dental practice in the pandemic, it is also pertinent to assess the dentist’s knowledge of practice modifications in the dental setting. A cross-sectional study was conducted among dental practitioners registered with the Indian Dental Association local branch to assess the fear, anxiety, and knowledge regarding practice modifications. Data collection was done through google forms and commenced after obtaining informed consent from the study participants. Eight factors each corresponding to fear and knowledge on practice modifications pretested and validated were administered to the dental practitioners. Anxiety was assessed using the Coronavirus Anxiety Scale (CAS).: Nearly 46 percent of dental practitioners presented with moderate fear. Fear related to transmitting the infection to family (84.4%), treating patients with symptoms (76.6%), and getting infected from patients or co-workers (53.1%) were the common fear factors reported by the dental practitioners. Increased fear was significantly associated with females, specialist dentists, and those working in the government sector. CAS score &#62;9 was reported only by 1.3% of dental practitioners, indicative of probable dysfunctional corona-related anxiety. Good knowledge of practice-related modifications in COVID times was reported by 47.4% of dental practitioners. The study highlighted a considerable amount of fear among dental practitioners. Psychological support mechanisms to facilitate the mental health of dental practitioners such as regular counseling sessions till the wane of the pandemic, followed by a few years post-pandemic, and implementing periodic mental health screening need to be implemented by the Government and concerned health authorities.
Impact of COVID-19 pandemic on the utilization of OPD services of a tertiary dental care centre in New Delhi, India
Authors: Chawla Kirti , Sawai Madhuri Alankar , Jafri Zeba , Sultan Nishat , Bhardwaj Ashu , Singh Sanjay , Kaur Mandeep 
Published: September 2022

In March 2020, there was COVID-19 pandemic outbreak in India with the second wave entering in April 2021. This hampered the day to day life of most of the people. Patients visiting the Dental OPDs were reduced. This retrospective analysis assessed the effect of COVID-19 on the demographics and complaints of patients visiting the dental OPD. To assess how the current COVID-19 pandemic has influenced the utilization of OPD services by patients in a tertiary care centre in New Delhi. This was a retrospective study. The data (August 2020 to February 2021) of patients visiting the Dental OPD of Faculty of Dentistry, Jamia Millia Islamia was retrieved and analyzed. 4909 patients visited the OPD with various complaints. Their demographic characteristics, reasons for visiting and treatment rendered were analyzed. Out of 4909 patients visiting the dental OPD almost equal males (49.9%) and females (50.1%) visited. The mean age of the patients was 32.84±16.12 years. Caries and pain were the main chief complaints. 31% had caries and 22% had pain. 33.7% had endodontic problems and 24.8% had periodontal problems. Only 5% pediatric patients visited the OPD. 45% patients were medicated and 26.6% were referred to a higher centre. Within the constraints of this study, we found that most of the patients visited the dental OPD only if they had endodontic problems like pain and caries.