bluuebunny/crossref_metadata_2025 huggingface dataset:
Financial Development and Environmental Degradation: Promoting Low-Carbon Competitiveness in E-7 Economies’ Industries
Authors: Musa Hani Amer , Sabbar Sabbar Dahham , Kadir Abdul Rahman , Nohong Mursalim , Munizu Musran , Anwar Anas Iswanto , Al-Mhasnah Anas Mosleh Marzoq
Published: March 2023

Rapid industrialisation and economic growth among the emerging E-7 economic countries (China, India, Indonesia, Brazil, Mexico, Russia, and Turkey) negatively degrade the environment in the region. Therefore, this study investigates the relationship between financial development and environmental degradation to promote low-carbon transition. The methodology of data collection techniques employed is the generalised method of moments (GMM) using a one-step and two-step approach, and a seemingly unrelated regression (SUR) test is used to obtain the study objectives. The empirical outcomes unveiled that fiscal decentralisation and financial inclusion favourably moderate the impact of total carbon emission (TCE) and carbon emission per capita on energy (CEPE) intensity. Ecological quality degrades by increasing financial development; however, human capital and institutional quality reduce environmental degradation. The causality analysis suggested that any policy related to economic growth, human capital, and institutional quality will affect the environment. Additionally, an institution’s quality reduces the negative ecological impacts caused by financial development. In conclusion, emerging economies should promote environmental sustainability by fostering human capital and effectively using financial resources. Also, economic growth in E-7 countries is responsible for reducing carbon emissions; therefore, E-7 governments should prioritise research into low-carbon technology and renewable energy sources, and the financial sector must play its role to give more capital that prioritises environmentally conscious enterprises and encourages strategies that minimise environmental impact.
A study of soft hyperideals in right regular LA-semihypergroups
Authors: Khan Sabahat Ali , Abbasi Mohammad Yahya , Hila Kostaq , Talee Aakif Fairooze
Published: March 2023

Although a lot of work has been done by algebraist on soft set theory and hyperstructure theory, several fundamental results of soft intersection hyperideals in LA-semihypergroups remained untouched. This paper aims at studying some structural properties of LA-semihypergroups by applying soft set theory. In this paper, we define right regular LA-semihypergroups and introduce the concept of soft generalized bi-hyperideals in LA-semihypergroups. Further, we characterize right regular LA-semihypergroups in terms of different kinds of soft right hyperideals, soft left hyperideals and soft generalized bi-hyperideals. Idempotent soft hyperideals in LA-semihypergroups are introduced and some related results on them are obtained. It is proved that in an LA-semihypergroup with left identity, the collection of all soft left hyperideals, which are idempotent forms a commutative monoid. Examples are provided to illustrate the results.
Protecting Autonomous Cars from Phantom Attacks
Authors: Nassi Ben , Mirsky Yisroel , Shams Jacob , Ben-Netanel Raz , Nassi Dudi , Elovici Yuval
Published: March 2023

Enabling object detectors to better distinguish between real and fake objects in semi-autonomous and fully autonomous vehicles.
Contracting for Artificial Intelligence
Authors: Sako Mari
Published: March 2023

Considering the promises and perils of contracting for the use of artificial intelligence tools and data.
Conversational Context-sensitive Ad Generation with a Few Core-Queries
Authors: Shibata Ryoichi , Matsumori Shoya , Fukuchi Yosuke , Maekawa Tomoyuki , Kimoto Mitsuhiko , Imai Michita
Published: March 2023

When people are talking together in front of digital signage, advertisements that are aware of the context of the dialogue will work the most effectively. However, it has been challenging for computer systems to retrieve the appropriate advertisement from among the many options presented in large databases. Our proposed system, the Conversational Context-sensitive Advertisement generator (CoCoA), is the first attempt to apply masked word prediction to web information retrieval that takes into account the dialogue context. The novelty of CoCoA is that advertisers simply need to prepare a few abstract phrases, called Core-Queries, and then CoCoA automatically generates a context-sensitive expression as a complete search query by utilizing a masked word prediction technique that adds a word related to the dialogue context to one of the prepared Core-Queries. This automatic generation frees the advertisers from having to come up with context-sensitive phrases to attract users’ attention. Another unique point is that the modified Core-Query offers users speaking in front of the CoCoA system a list of context-sensitive advertisements. CoCoA was evaluated by crowd workers regarding the context-sensitivity of the generated search queries against the dialogue text of multiple domains prepared in advance. The results indicated that CoCoA could present more contextual and practical advertisements than other web-retrieval systems. Moreover, CoCoA acquired a higher evaluation in a particular conversation that included many travel topics to which the Core-Queries were designated, implying that it succeeded in adapting the Core-Queries for the specific ongoing context better than the compared method without any effort on the part of the advertisers. In addition, case studies with users and advertisers revealed that the context-sensitive advertisements generated by CoCoA also had an effect on the content of the ongoing dialogue. Specifically, since pairs unfamiliar with each other more frequently referred to the advertisement CoCoA displayed, the advertisements had an effect on the topics about which the pairs spoke. Moreover, participants of an advertiser role recognized that some of the search queries generated by CoCoA fit the context of a conversation and that CoCoA improved the effect of the advertisement. In particular, they learned how to design of designing a good Core-Query at ease by observing the users’ response to the advertisements retrieved with the generated search queries.
Knowledge-enhanced Prompt-tuning for Stance Detection
Authors: Huang Hu , Zhang Bowen , Li Yangyang , Zhang Baoquan , Sun Yuxi , Luo Chuyao , Peng Cheng
Published: March 2023

Investigating public attitudes on social media is important in opinion mining systems. Stance detection aims to analyze the attitude of an opinionated text (e.g., favor, neutral, or against) toward a given target. Existing methods mainly address this problem from the perspective of fine-tuning. Recently, prompt-tuning has achieved success in natural language processing tasks. However, conducting prompt-tuning methods for stance detection in real-world remains a challenge for several reasons: (1) The text form of stance detection is usually short and informal, which makes it difficult to design label words for the verbalizer. (2) The tweet text may not explicitly give the attitude. Instead, users may use various hashtags or background knowledge to express stance-aware perspectives. In this article, we first propose a prompt-tuning-based framework that performs stance detection in a cloze question manner. Specifically, a knowledge-enhanced prompt-tuning framework (KEprompt) method is designed, which consists of an automatic verbalizer (AutoV) and background knowledge injection (BKI). Specifically, in AutoV, we introduce a semantic graph to build a better mapping from the predicted word of the pretrained language model and detection labels. In BKI, we first propose a topic model for learning hashtag representation and introduce ConceptGraph as the supplement of the target. At last, we present a challenging dataset for stance detection, where all stance categories are expressed in an implicit manner. Extensive experiments on a large real-world dataset demonstrate the superiority of KEprompt over state-of-the-art methods.
A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems
Authors: Zheng Weijian , Wang Dali , Song Fengguang
Published: March 2023

Graph optimization problems (such as minimum vertex cover, maximum cut, traveling salesman problems) appear in many fields including social sciences, power systems, chemistry, and bioinformatics. Recently, deep reinforcement learning (DRL) has shown success in automatically learning good heuristics to solve graph optimization problems. However, the existing RL systems either do not support graph RL environments or do not support multiple or many GPUs in a distributed setting. This has compromised the ability of reinforcement learning in solving large-scale graph optimization problems due to lack of parallelization and high scalability. To address the challenges of parallelization and scalability, we develop
RL4GO
, a high-performance distributed-GPU DRL framework for solving graph optimization problems. RL4GO focuses on a class of computationally demanding RL problems, where both the RL environment and policy model are highly computation intensive. Traditional reinforcement learning systems often assume either the RL environment is of low time complexity or the policy model is small.

In this work, we distribute large-scale graphs across distributed GPUs and use the spatial parallelism and data parallelism to achieve scalable performance. We compare and analyze the performance of the spatial parallelism and data parallelism and show their differences. To support graph neural network (GNN) layers that take as input data samples partitioned across distributed GPUs, we design parallel mathematical kernels to perform operations on distributed 3D sparse and 3D dense tensors. To handle costly RL environments, we design a parallel graph environment to scale up all RL-environment-related operations. By combining the scalable GNN layers with the scalable RL environment, we are able to develop high-performance RL4GO training and inference algorithms in parallel. Furthermore, we propose two optimization techniques—replay buffer on-the-fly graph generation and adaptive multiple-node selection—to minimize the spatial cost and accelerate reinforcement learning. This work also conducts in-depth analyses of parallel efficiency and memory cost and shows that the designed RL4GO algorithms are scalable on numerous distributed GPUs. Evaluations on large-scale graphs show that (1) RL4GO training and inference can achieve good parallel efficiency on 192 GPUs, (2) its training time can be 18 times faster than the state-of-the-art Gorila distributed RL framework [
34
], and (3) its inference performance achieves a 26 times improvement over Gorila.
Site Selection of Niobium-Doped LiMn0.6Fe0.4PO4 and Effect on Electrochemical Properties
Authors: Guo Hongyuan , Liu Ruoxuan , Li Weida , Gu Haoyan , Cao Jingrui , Gong Dongjie , Liang Guangchuan
Published: March 2023

Ion doping is one of the primary means to enhance the properties of phosphate cathode materials. In this document, the DFT+U method is used to determine the selection of ion doping sites from the energy band perspective and density of state. Further, different contents of niobium-doped LiMn0.6Fe0.4-xNbxPO4(0≤x≤0.2) were obtained by the solid-phase method and synthesized samples were also measured and analyzed. The results show that the ion-doped modification principle is the introduction of impurity bands between the band gaps, and transition metal ions are more inclined to occupy metal sites. LiMn0.6Fe0.25Nb0.15PO4 possesses an excellent electrochemical performance, exhibiting a specific discharge capacity of 156.7 mAh g−1 at 0.2 C. EIS proves that the electrochemical impedance of the sample is significantly reduced, and the lithium-ion diffusion coefficient increase after an appropriate amount of doping.
Introduction of Telemedicine in a Prehospital Emergency Care Setting: A Pilot Study
Authors: Jobé Christophe , Carron Pierre-Nicolas , Métrailler Pierre , Bellagamba Jean-Marc , Briguet Alexandre , Zurcher Line , Dami Fabrice
Published: March 2023

Background. Advances in information and communication technology have led to telemedicine applications that could support paramedics in the prehospital field. In an effort to optimise the available resources like prehospital emergency physicians (PHP), the State Health Services of a Swiss state decided to launch a pilot study on the feasibility of using telemedicine in the prehospital emergency setting. Objective. The primary objective was to measure the number of missions completed without technical problems with remote PHP support through telemedicine (tele-PHP). The secondary objectives were to evaluate the safety of this protocol and to describe the actions and decisions that clinicians can make by using tele-PHP. Methods. This was a prospective observational pilot study on all missions involving the dispatch of ground PHP or tele-PHP. The severity score, dispatch criteria, actions, and decisions made by ground PHP and tele-PHP were collected. Results. PHP were dispatched simultaneously with an ambulance on 478 occasions, including 68 (14%) situations that started directly with tele-PHP. Among those situations, three had to be transformed into on-site PHP missions after the on-site evaluation by paramedics. Fifteen missions were cancelled by paramedics once they were on site, and six missions encountered a connection issue. Forty-four PHP missions that were dispatched simultaneously with paramedics were completed by tele-PHP only without any connection problems. Paramedics and PHP estimated that actions or decisions were provided by PHP in 66% of the on-site PHP missions and 34% of the tele-PHP missions. Conclusions. This is the first experience of tele-PHP regarding PHP dispatch in Switzerland. Despite the small number of missions carried out, tele-PHP could be used for well-selected situations to reduce the need for a PHP on site.
Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach
Authors: Linge Ashish A. , Chaudhari Tushar , Kakde Baldeo B. , Singh Mahesh
Published: March 2023

The main aim of this research study is to examine the impact of five independent variables viz. performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation on behavioral intention to use mobile payment apps. This study is further aimed at investigating the influence of behavioral intention on the use behavior of mobile payment app users. This study strives to investigate the use behavior of people who have already used mobile payment apps like Google Pay, PhonePe, and PayTM previously for making payments for the products and services they have purchased from various sellers. The researchers used the UTAUT2 theory to examine the relationship between the independent and dependent variables mentioned above. The data was collected from 618 mobile payment app users from Vidarbha, M.S., India. Availability sampling and purposive sampling techniques were adopted for the final selection of the respondents. A structured questionnaire was designed by the researchers for collecting the required primary data. The six proposed hypotheses were tested by using SMART-PLS 3.3.5 software. The results indicated support for all six proposed hypotheses. The proposed model explained a substantial amount of variance in behavioral intention (

R

2

=
71.8

% and

R

2

=
76.5

%) in use behavior towards mobile payment apps explained by independent variables. Facilitating conditions exhibited the strongest effect on behavioral intention.
Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Voltage Profile Improvements
Authors: Kumar Pramod , Swarnkar Nagendra Kumar , Mahela Om Prakash , Khan Baseem , Anand Divya , Singh Aman , Mazon Juan Luis Vidal , Alharithi Fahd S.
Published: March 2023

This paper presents grid-oriented multiobjective harmony search algorithm (GOMOHSA) to incorporate the multiple grid parameters for minimization of the active power loss, reactive power loss, and total voltage deviations (TVD) in a part of practical transmission network of Rajasthan Rajya Vidyut Prasaran Nigam Limited (RVPN) in southern parts of Rajasthan state of India. This is achieved by optimal deployment of optimally sized renewable energy (RE) generators using GOMOHSA. Performance indexes such as active power loss minimization index (APMLI), the reactive power loss minimization index (RPMLI), and the total voltage deviation improvement index (TVDII) are introduced to evaluate the health of the test network with different load scenarios. Performance of proposed GOMOHSA has been tested for five different operating scenarios of loads and RE generation. It is established that the proposed GOMOHSA finds the optimal deployment of optimally sized RE generators, and the investment cost of deployment of these RE generators can be recovered within a time period that is less than 5 years. Performance of GOMOHSA is superior compared to a conventional genetic algorithm (GA) in terms of performance indexes, RE generator capacity, payback period, and parameter sensitivity. Study is performed using MATLAB software for loading scenario of base year 2021 and projected year 2031.
Detection of Markers in Green Beans and Roasted Beans of Kalosi-Enrekang Arabica Coffee with Different Postharvest Processing Using LC-MS/MS
Authors: Yulianti Yulianti , Adawiyah Dede Robiatul , Herawati Dian , Indrasti Dias , Andarwulan Nuri
Published: March 2023

Our study is aimed at evaluating the effect of postharvest processing (natural, honey, and fully washed) on the compounds profile in green beans and roasted beans of Kalosi-Enrekang Arabica coffee and determining the marker compounds for each process. These beans were extracted using boiling water, and the extract was analyzed using LC-MS/MS. The results of this work confirmed the significant impact of postharvest processing on compounds in the coffee beans, and each process has a marker compound. Green beans by natural processing have 3 marker compounds, honey processing has 6 marker compounds, and fully washed processing has 2 marker compounds. Meanwhile, roasted beans by natural processing have 4 marker compounds, honey processing has 5 marker compounds, and fully washed processing has 7 marker compounds. In addition, our research identified caffeoyl tyrosine in green beans from natural and honey processing, which was previously only identified in Robusta coffee. These marker compounds can differentiate postharvest processing (natural, honey, and fully washed). These results can also help understand the effect of postharvest processing on the chemical composition of green and roasted beans.
Impact of Tuned Mass Dampers and Electromagnetic Tuned Mass Dampers on Geometrically Nonlinear Vibrations Reduction of Planar Cable Robots
Authors: Zamora-Garcia Diego A. , Ramirez-Reivich Alejandro C. , Corona-Lira Ma. Pilar
Published: March 2023

Vibration is one of the problems that limits the applications of cable driven parallel robots (CDPR). The problem is bigger in CDPR with planar configuration due to the presence of out-of-plane vibrations, which have a larger amplitude and settling time. Some authors have proposed solutions such as the increase in tension of the wires, increase in the end effector mass, or the use of active dampers. In this research, we investigated the performance of tuned mass dampers (TMD) and electromagnetic tuned mass dampers (ETMD) which are integrated in the end effector of a CDPR in a planar configuration with eight wires. The essential idea is to reduce the settling time of the end effector through free vibrations without the use of external energy. This research followed an analytical and experimental methodology with the following steps. Three mathematical models were formulated and analysed using numerical simulations. Then, a test bench to validate the analytical results was designed and built. The effectiveness of the dampers was evaluated by comparing the settling times of the following three cases: without damper, with TMD, and with ETMD. During the investigation, it was observed that the use of AMS can reduce the settling time using the appropriate parameters. The effectiveness of AEMS is highly dependent on frictions and can be effective in some scenarios. Reductions in settling time from marginal values to 95% can be obtained. This research implies a viable solution for the out-of-plane vibrations of planar CDPR.
Nanolignin as Nucleating Agents Promoting Crystallization of Isotactic Polypropylene
Authors: Chen Jing , Yang Tao , Zhu Yongchen , Luo Zhenyang , Ma Xiaofeng
Published: March 2023

Lignin is the second most abundant pollution-free biomass material. However, most of lignin is discarded as waste in river or burned as fuel, which results in serious environmental pollution problems and low utilization efficiency of lignin at present. Thus, high-value utilization of lignin has become a hot research field. Herein, nanolignin (nano-Lig) is prepared successfully by the self-assembly method, and then nano-Lig and isotactic polypropylene (iPP) are mixed to prepare a series of nano-Lig/iPP composites by the solution blending method. Nano-Lig not only enhance thermostability of iPP but also improve crystallization properties of iPP. When 1.0 wt% nano-Lig was added in iPP, the crystallinity of iPP increased by 6.39% compared to iPP. Nano-Lig can increase the crystallization rate of iPP through investigation of kinetics of nonisothermal crystallization, suggesting nano-Lig can be used as a nucleating agent for iPP.
Research on the Seed Respiration CO2 Detection System Based on TDLAS Technology
Authors: Gao Lu , Zang Ying , Zhao Guangwu , Qi Hengnian , Tang Qizhe , Liu Qingshan , Jia Liangquan
Published: March 2023

The traditional detection method of CO2 concentration in seed respiration has defects such as low detection accuracy, low detection efficiency, and inability to monitor in real time. In order to solve these problems, we report a seed respiration CO2 detection system based on wavelength modulation spectroscopy (WMS) techniques in tunable diode laser absorption spectroscopy (TDLAS). This system uses a 2004 nm distributed feedback (DFB) laser as the light source, and a double-layer seed respiration device (about 1.5 L) is designed based on Herriott cell with an effective optical path of about 21 meters. Then, the second harmonic (2f) signal is extracted by the wavelength modulation method for CO2 concentration inversion. When the ambient temperature and pressure changes greatly, the corrected 2f signal is used for CO2 concentration inversion to improve the accuracy. A series of verification and comparison experiments have proved that the seed respiration CO2 detection system has the advantages of strong stability, high sampling frequency, and high detection accuracy. Finally, we used the developed system to measure the respiration intensity and respiration rate of 1 g corn seeds. The respiration intensity curves and respiration rate change details show that the seed respiration CO2 detection system is more suitable for a small amount of seeds than nondispersive infrared (NDIR) CO2 sensor and gas chromatography in real-time monitoring of the breathing process.
Functional Analysis of Monkeypox and Interrelationship between Monkeypox and COVID-19 by Bioinformatic Analysis
Authors: Sohn Eun Jung
Published: March 2023

The outbreak of monkeypox may be considered a novel and urgent threat after the coronavirus disease (COVID-19). No wide-ranging studies have been conducted on this disease since it was first reported. We systematically assessed the functional role of gene expression in cells infected with the monkeypox virus using transcriptome profiling and compared the functional relation with that of COVID-19. Based on the Gene Expression Omnibus database, we obtained 212 differentially expressed genes (DEGs) of GSE36854 and GSE21001 of monkeypox datasets. Enrichment analyses, including KEGG and gene ontology (GO) analyses, were performed to identify the common function of 212 DEGs of GSE36854 and GSE21001. CytoHubba and Molecular Complex Detection were performed to determine the core genes after a protein–protein interaction (PPI). Metascape/COVID-19 was used to compare DEGs of monkeypox and COVID-19. GO analysis of 212 DEGs of GSE36854 and GSE21001 for monkeypox infection showed cellular response to cytokine stimulus, cell activation, and cell differentiation regulation. KEGG analysis of 212 DEGs of GSE36854 and GSE21001 for monkeypox infection showed involvement of monkeypox in COVID-19, cytokine-cytokine receptor interaction, inflammatory bowel disease, atherosclerosis, TNF signaling, and T cell receptor signaling. By comparing our data with published transcriptome of severe acute respiratory syndrome coronavirus 2 infections in other cell lines, the common function of monkeypox and COVID-19 includes cytokine signaling in the immune system, TNF signaling, and MAPK cascade regulation. Thus, our data suggest that the molecular connections identified between COVID-19 and monkeypox elucidate the causes of monkeypox.
A Giant Paratesticular Liposarcoma: Case Report and Literature Review
Authors: Caviglia Alberto , Beverini Martina , Pacchetti Andrea , Branger Nicolas , Pignot Géraldine , Bertucci François , Walz Jochen
Published: March 2023

Liposarcoma of the spermatic cord (LSC) is a very rare disease. In literature, are reported less than 350 cases. Genitourinary sarcomas account for <5% of all soft-tissue sarcomas and <2% of malignant urologic tumours. An inguinal mass is the clinical presentation, which can mimic a hernia or hydrocele. Since it is such a rare disease, there are insufficient data on chemotherapy and radiotherapy, and in any case, the data come from low-level scientific evidence. Here, we report the case of a patient who came to the observation for a giant inguinal mass, in which a definitive diagnosis was obtained with the histological examination.
Corneal Biomechanical Properties of Various Types of Glaucoma and Their Impact on Measurement of Intraocular Pressure
Authors: Zhang Yang , Bian Ailing , Hang Qijun , Li Lüe , Zhang Shunhua , Cheng Gangwei , Zhou Qi
Published: March 2023

Introduction: Corneal biomechanical properties could affect intraocular pressure (IOP) measurement. The aim of this study was to evaluate the differences in corneal biomechanical properties of various types of glaucoma, assess their effect on IOP measurements. Methods: This is an observational clinical study of 486 subjects including 102 normal subjects, 104 ocular hypertension (OHT), 89 normal tension glaucoma (NTG), and 191 high tension glaucoma (HTG). Corneal biomechanical parameters were measured using an ocular response analyzer. The main parameters assessed were corneal hysteresis (CH), corneal resistance factor (CRF), Goldmann-correlated pressure measurement (IOPg), and corneal-compensated intraocular pressure (IOPcc). Ultrasound pachymetry was used to measure central corneal thickness (CCT). IOP was measured by a Goldmann applanation tonometer (GAT) and a noncontact tonometer (NCT). Visual field (VF) and refractive status were also recorded. Results were analyzed by one-way analysis of variance, univariate and multivariate linear regression analyses, and Bland-Altman plots. Results: Multiple comparison by analysis of variance showed significantly lower CH and CRF in NTG compared to HTG, OHT, and normal subjects (CH: 0.011, 0.015, and 0.033; CRF: 0.001, <0.001, and 0.042, respectively). CRF and CH associated with IOP were measured using either GAT, NCT and IOPcc-GAT, IOPcc-NCT, yet CCT was not. GAT correlated strongly with IOPg (r = 0.79; p < 0.001) and IOPcc (r = 0.77; p < 0.001), but limits of agreement between the measurements were poor. CH and CRF were both negatively correlated with VF change (p < 0.01). Conclusion: CH and CRF affect the measurement of IOP and were related to types of glaucoma or severity of glaucoma. Pure CCT should not be used to correct IOP values or estimate the risk of disease.
Сучасні погляди на процеси остеоінтеграції дентальних імплантатів у хворих на системний остеопороз
Authors: Даценко М. А.
Published: March 2023

Резюме. Якісна та кількісна оцінка кісткової тканини щелеп необхідна в усіх розділах стоматології – від пародонтології до ендодонтії та протезування, але особливо важлива у дентальній імплантології. Результати аналізу літератури з питань протезування із використанням різних систем імплантатів показують, що стан кісткової тканини істотно впливає на термін користування зубними протезами. Разом з тим, питання остеоінтеграції при остеопорозі залишаються маловивченими.

Мета дослідження – проаналізувати дані наукових літературних джерел стосовно проблеми остеоінтеграції дентальних імплантатів у хворих на системний остеопороз.

Матеріали і методи. Застосовано бібліосемантичний метод для з’ясування стану проблеми, вивчення аналізу результатів поперед­ніх наукових досліджень на основі джерел літератури та електронних ресурсів.

Результати досліджень та їх обговорення. У літературі наводяться окремі клінічні спостереження успішного застосування зубних імплантатів у пацієнтів, які страждають від системного остеопорозу. Є повідомлення про успішну імплантацію у глюкокортикоїднозалежних пацієнтів, а також в осіб, які страждають від остеопорозу в поєднанні з хронічним поліартритом. Результати багатовекторних досліджень показали, що у пацієнтів з ознаками системного остеопорозу (знижена мінеральна щільність кісткової тканини поперекового відділу хребта та стегнової кістки) та остеопоротичними проявами у структурі альвеолярної кістки, імплантати успішно функціонували протягом багатьох років. Ряд авторів спостерігав відторгнення лише одного імплантата, що, на думку авторів, відповідає літературним даним, та не може бути приписано системному остеопорозу.

Висновки. Проблема підвищення ефективності застосування дентальних імплантатів у пацієнтів із системним остеопорозом залишається дуже актуальною та суттєвою для клінічної практики. Затребуваність дентальної імплантації серед населення України висока, проте найчастіше лікарі змушені відмовляти пацієнтам із остеопорозом в імплантації через високий відсоток невдалих наслідків.
Hypofractionated radiotherapy with concurrent chemotherapy with weekly cisplatin in locally advanced relatively radioresistent subsites of head and neck cancers
Authors: Baidya Kishalay , Sobita Devi Yumkhaibam , Sunita Devi Akoijam , Indibor Singh Yengkhom , Das Deepsikha , Mahawar Rahul , Devi Nongmaithem Nilima
Published: March 2023

Background. Locoregionally advanced head and neck cancers are more aggressive and locoregional failure rate after conventional radiotherapy is high. Objective. The aim of the study is to assess the tumor response and toxicities of hypofractionated radiation therapy with concurrent chemotherapy in treatment of four relatively radioresistent tumor sites of head and neck. Methods. A prospective randomised control trial was conducted in 27 head and neck cancer patients. All patients were treated with hypofractionated radiotherapy at 250cGy/fraction once daily to a maximum of 62.5Gy in 25 fractions with concurrent cisplatin 30 mg/m2. Data were evaluated with SPSS version 21.0 for Windows with p-value <0.05. Results. Complete and partial responses were achieved in 15 (57.7%) and 8 (30.8%) patients respectively with an overall response rate of 88.5% and three patients having stable disease. Grade 3 and 4 acute mucositis was experienced by 17 patients (65.4%) and seven patients (27%), respectively. Grade 3 dysphagia was found in 21 patients (80.7%) and grade 3 and 4 skin reactions – in 11 and 2 patients, respectively. Most patients had manageable acute toxicities. Most of the late complications were of grade 2 and 3. The median time to locoregional recurrence was 12 months and one year progression-free survival attained by 61.5% patients. Conclusion. Treatment with hypofractionated radiotherapy with concurrent cisplatin appears feasible and safe and is associated with a good response rate. Although grade 3 and 4 toxicities were comparatively high but it was manageable. Late toxicities were within tolerable levels gia was found in 21 patients (80.7%) and grade 3 and 4 skin reactions – in 11 and 2 patients, respectively. Most patients had manageable acute toxicities. Most of the late complicons were of grade 2 and 3. The median time to locoregional recurrence was 12 months and one year progression-free survival attained by 61.5% patients. Conclu
Comparative characteristics of symptoms in neurotic and affective patients after COVID-19
Authors: Venger Olena , Koval Anna-Maria , Shved Mykola , Ivanitska Tetiana
Published: March 2023

Background. COVID-19 pandemic has negatively affected people’s mental health and created new barriers for those who have already suffered from mental illnesses. Objective. The aim of the study was to compare the symptoms of mental disorders in neurotic and affective patients, who recovered from COVID-19. Methods. The features of disorders during the pandemic in 35 neurotic and 31 affective patients were analysed. The Hamilton anxiety and depression scales (HAM-A, HAM-D), Insomnia Severity Index (ISI), Schulte tables, Jacobson short-term memory study were used. Results. Moderate and severe anxiety was more likely to develop in neurotic patients (34.29% and 37.14%, respectively), mild and moderate – in affective ones (38.71% and 32.26%). Neurotic patients had a higher level of depression (moderate – by 31.42%, severe – by 48.57%) than affective patients (mild – by 32.26%, severe – by 35.48%). The degree of memory loss was higher in affective patients (51.62% – low, 35.48% – very low) than in neurotic ones (41.94% – low, 20.00% – very low). Most of patients had reduced attention. Insomnia severity was higher in patients with neurotic disorders (25.72% – subthreshold, 45.71% – moderate) than in affective patients (38.71% – subthreshold, 22.58% – moderate). A higher level of anxiety and depression severity was observed in patients who had COVID-19 in 2021 than in those who had it in 2020, while the severity of insomnia and memory impairment – vice versa. Conclusion. Anxiety, depression, insomnia, memory and attention loss were detected. Anxiety and depression were more severe in neurotic patients but the degree of memory loss was higher in affective patients
Anthropometric variables in breast lesions of women of reproductive age in university of Port Harcourt teaching hospital
Authors: David Orupabo Clinton , Chelsea George Odoya
Published: March 2023

Background. Benign breast diseases are a potential health concern to a large number of women. The incidence of cancer is increasing worldwide. A steady increase in incidence has been observed in most developed and developing counties. Objective. Thus, our study seeks to investigate the anthropometric variables implicated in breast lesions of women of reproductive age. Methods. This is a descriptive and prospective study with a random sampling method; the data was obtained from the Department of Surgery, Radiotherapy and Oncology Unit of University of Port Harcourt Teaching Hospital. A total number of 146 subjects (18-49 years) were involved into this study. A number of 90 were breast lump patients and 56 were breast cancer patients. Results. Data obtained was analysed with Microsoft Excel. Our results show no statistically significant difference (P> 0.05) in the body mass index (BMI) and waist-hip-ratio (WHR) of both the breast lump and breast cancer patients. This study supports the fact that high BMI is a predictive marker for breast lumps and cancer in women. Conclusion. The study has also identified that high BMI favours the incidence of breast lumps and breast cancers in women of reproductive age
Fetal bilateral adrenal hemorrhage (case report)
Authors: Randhawa J.S. , Rajendran Nagamahendran , Shankaran R.
Published: March 2023

Background. Fetal supra renal mass revealed incidentally by routine antenatal ultrasound is a great challenge for diagnosis and management by a surgeon. This is a matter of parental anxiety and diagnostic dilemma to a physician. Indeed, such masses turn out to be complicated by an intra-tumor hemorrhage in neuroblastoma or antenatally diagnosed adrenal hemorrhage. The first one needs intensive management and the latter needs watchful observation. Objective. A case of bilateral fetal adrenal mass revealed by routine fetal ultrasound examination at 28th week of gestation which turned out to be adrenal hemorrhage is presented. This is aimed to make awareness to ensure that clinicians always keep benign etiologies first and thoroughly investigate in case of incidentally detected fetal adrenal mass. Methods. The study is a single case report of incidentally revealed supra renal mass. This case report encompasses differentiating features between the two and investigations that aid the surgeon to avoid unnecessary intervention in a benign hemorrhage. Results. The baby was kept on follow up with serial ultrasound scans in the postnatal period and by the second scan in a month, the hemorrhage had resolved completely. Conclusion. In cases of benign looking masses like adrenal hemorrhage or spontaneously resolving neuroblastoma, appropriate antenatal assessment and close monitoring with serial ultrasound scans can avoid surgery
Impact of COVID-19 pandemic on the radiotherapy and cancer patients in a tertiary health care center of assam, Northeast India: a retrospective single institution study
Authors: Baruah Chiranjiv , Jyoti Deka Kankan , Paul Trishan , Sarma Biswajit , Pratim Patowary Partha , Sreeni Sharath , Mahanta Badurjya
Published: March 2023

Background. The COVID-19 pandemic has affected every sector of health care system including the cancer care. Objective. The purpose of the study is to analyse the impact of the current COVID-19 pandemic on routine radiotherapy practice at a tertiary hospital of Northeast India. Methods. This is a retrospective study of all patients planned for radiotherapy at Assam Medical College, a tertiary care centre, in Assam, India from January 1, 2020 to May 31, 2020. The study samples are divided into two groups: group A – patients treated from January 1, 2020, to March 20, 2020 (pre-lockdown,) and group B – patients treated from March 21, 2020, to May 31, 2020 (lockdown). The department registration numbers of all the patients were collected from the entry register, and the respective paper files were then accessed to obtain the required data. Results. A total of 153 patients were planned for radiotherapy during the study period, of these 113 patients receiving radiotherapy in the pre-lockdown period and 40 patients receiving it in the lockdown period. The number of female patients decreased from 66 (58.40%) in the pre-lockdown period to 20 (50%) during the lockdown. The number of male patients also decreased from 47 to 20 but the proportion increased from 41.5% to 50%. The proportion of patients who completed radiotherapy was 90.8% in group B compare to 88.3% in group A. Conclusion. There was a decrease in number of cancer patients, especially female during the lockdown. The pandemic has severely disrupted every aspect of cancer caretreated from March 21, 2020, to May 31, 2020 (lockdown). The department registration numbers of all the patients were collected from the entry register, and the respective paper files were then accessed to obtain the required data.Results. A total of 153 patients were planned for radiotherapy during the study period, of these 113 patients receiving radiotherapy in the pre-lockdown period and 40 patients receiving it in the lockdown period. The number of female patients decreased from 66 (58.40%) in the pre-lockdown period to 20 (50%) during the lockdown. The number of male patients also decreased from 47 to 20 but the proportion increased from 41.5% to 50%. The proportion of patients who completed radiotherapy was 90.8% in group B compare to 88.3% in group A.Conclusion. There was a decrease in number of cancer patients, especially female during the lockdown. The pandemic has severely disrupted every aspect of cancer care
Transtornos mentais comuns e Síndrome de Burnout entre profissionais de colégio universitário
Authors: Silva Jorge Luiz Lima da , Monnerat Mayara Souza , Abreu Larissa Murta , Lima Ana Luísa  de Oliveira , Messias Cláudia Maria , Almeida Giulia Lemos de
Published: March 2023

Objetivo: descrever a suspeição da Síndrome de Burnout e os Transtornos Mentais Comuns entre profissionais de colégio universitário. Método: estudo epidemiológico de desenho seccional, descritivo. Compararam-se grupos em busca da associação estatística e modelos de regressão logística foram aplicados. Participaram 106 trabalhadores da educação. O instrumento produzido continha as escalas adaptadas e validadas, como a Maslach Burnout Inventory (MBI), para a aferição das dimensões da Síndrome de Burnout e a versão reduzida do Self Reporting Questionnaire (SRQ-20) para mensurar o nível de suspeição de transtorno mental comum. Resultados: a suspeição de Transtornos Mentais Comuns entre os trabalhadores da amostra estudada foi de 22,6%. Observou-se a associação entre ser jovem, sexo feminino, pensar no trabalho durante as folgas ou em abandonar o trabalho, sedentarismo e duas dimensões de Burnout, sendo elas a despersonalização e a exaustão emocional. Conclusão: pôde-se elucidar a prevalência de TMC e SB na amostra estudada, levando-se em consideração os hábitos de vida e a qualidade da saúde mental de professores e demais funcionários, contribuindo-se, assim, para a reflexão sobre a qualidade de vida do trabalhador.
Appraising the Preclinical Evidence of the Role of the Renin-Angiotensin-Aldosterone System in Antenatal Programming of Maternal and Offspring Cardiovascular Health Across the Life Course: Moving the Field Forward: A Scientific Statement From the American Heart Association
Authors: Alexander Barbara T. , South Andrew M. , August Phyllis , Bertagnolli Mariane , Ferranti Erin P. , Grobe Justin L. , Jones Emily J. , Loria Analia S. , Safdar Basmah , Sequeira-Lopez Maria Luisa Soledad ,   on behalf of the American Heart Association Council on the Kidney in Cardiovascular Disease; Council on Cardiovascular and Stroke Nursing; Council on Cardiovascular Radiology and Intervention; Council on Hypertension; and Council on Lifestyle and Cardiometabolic Health
Published: March 2023

There is increasing interest in the long-term cardiovascular health of women with complicated pregnancies and their affected offspring. Emerging antenatal risk factors such as preeclampsia appear to increase the risk of hypertension and cardiovascular disease across the life course in both the offspring and women after pregnancy. However, the antenatal programming mechanisms responsible are complex and incompletely understood, with roots in alterations in the development, structure, and function of the kidney, heart, vasculature, and brain. The renin-angiotensin-aldosterone system is a major regulator of maternal-fetal health through the placental interface, as well as kidney and cardiovascular tissue development and function. Renin-angiotensin-aldosterone system dysregulation plays a critical role in the development of pregnancy complications such as preeclampsia and programming of long-term adverse cardiovascular health in both the mother and the offspring. An improved understanding of antenatal renin-angiotensin-aldosterone system programming is crucial to identify at-risk individuals and to facilitate development of novel therapies to prevent and treat disease across the life course. Given the inherent complexities of the renin-angiotensin-aldosterone system, it is imperative that preclinical and translational research studies adhere to best practices to accurately and rigorously measure components of the renin-angiotensin-aldosterone system. This comprehensive synthesis of preclinical and translational scientific evidence of the mechanistic role of the renin-angiotensin-aldosterone system in antenatal programming of hypertension and cardiovascular disease will help (1) to ensure that future research uses best research practices, (2) to identify pressing needs, and (3) to guide future investigations to maximize potential outcomes. This will facilitate more rapid and efficient translation to clinical care and improve health outcomes.
Complications of Intravenous Tenecteplase Versus Alteplase for the Treatment of Acute Ischemic Stroke: A Systematic Review and Meta-Analysis
Authors: Rose Deborah , Cavalier Annie , Kam Wayneho , Cantrell Sarah , Lusk Jay , Schrag Matthew , Yaghi Shadi , Stretz Christoph , de Havenon Adam , Saldanha Ian J. , Wu Teddy Y. , Ranta Anna , Barber P. Alan , Marriott Elizabeth , Feng Wayne , Kosinski Andrzej S. , Laskowitz Daniel , Poli Sven , Mac Grory Brian
Published: March 2023

Background:

Prior systematic reviews have compared the efficacy of intravenous tenecteplase and alteplase in acute ischemic stroke, assigning their relative complications as a secondary objective. The objective of the present study is to determine whether the risk of treatment complications differs between patients treated with either agent.

Methods:

We performed a systematic review including interventional studies and prospective and retrospective, observational studies enrolling adult patients treated with intravenous tenecteplase for ischemic stroke (both comparative and noncomparative with alteplase). We searched MEDLINE, Embase, the Cochrane Library, Web of Science, and the
www.ClinicalTrials.gov
registry from inception through June 3, 2022. The primary outcome was symptomatic intracranial hemorrhage, and secondary outcomes included any intracranial hemorrhage, angioedema, gastrointestinal hemorrhage, other extracranial hemorrhage, and mortality. We performed random effects meta-analyses where appropriate. Evidence was synthesized as relative risks, comparing risks in patients exposed to tenecteplase versus alteplase and absolute risks in patients treated with tenecteplase.

Results:

Of 2226 records identified, 25 full-text articles (reporting 26 studies of 7913 patients) were included. Sixteen studies included alteplase as a comparator, and 10 were noncomparative. The relative risk of symptomatic intracranial hemorrhage in patients treated with tenecteplase compared with alteplase in the 16 comparative studies was 0.89 ([95% CI, 0.65–1.23]; I
2
=0%). Among patients treated with low dose (<0.2 mg/kg; 4 studies), medium dose (0.2–0.39 mg/kg; 13 studies), and high dose (≥0.4 mg/kg; 3 studies) tenecteplase, the RRs of symptomatic intracranial hemorrhage were 0.78 ([95% CI, 0.22–2.82]; I
2
=0%), 0.77 ([95% CI, 0.53–1.14]; I
2
=0%), and 2.31 ([95% CI, 0.69–7.75]; I
2
=40%), respectively. The pooled risk of symptomatic intracranial hemorrhage in tenecteplase-treated patients, including comparative and noncomparative studies, was 0.99% ([95% CI, 0%–3.49%]; I
2
=0%, 7 studies), 1.69% ([95% CI, 1.14%–2.32%]; I
2
=1%, 23 studies), and 4.19% ([95% CI, 1.92%–7.11%]; I
2
=52%, 5 studies) within the low-, medium-, and high-dose groups. The risks of any intracranial hemorrhage, mortality, and other studied outcomes were comparable between the 2 agents.

Conclusions:

Across medium- and low-dose tiers, the risks of complications were generally comparable between those treated with tenecteplase versus alteplase for acute ischemic stroke.