bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemanfaatan Sanggar Alfaz Sebagai Strategi Pemuda Besuki Timur Mengatasi Bencana Industri Lumpur Lapindo
Authors: Novenanto Anton , Amiruddin Lutfi , Ilma Daris
Published: May 2023

Tulisan ini adalah kajian tentang strategi pemuda menghadapi situasi bencana dan krisis pasca bencana. Dalam kajian ini fokus pada kelompok-kelompok pemuda, mengingat kajian tentang studi tentang kebencanaan lebih sering fokus pada anak-anak dan perempuan. Secara khusus, kajian ini mencoba memberikan analisi komprehesif strategi pemuda Besuki Timur mengatasi bencana industri lumpur Lapindo dengan memanfaatkan Sanggar Alfaz multi perspektif. Penelitian ini berusaha membangun sinergi teoritik dari tiga disiplin ilmu sosial yaitu antropologi, sosiologi dan psikologi. Adapun metodepengumpulan data dilakukan dengan menggunakan etnografi dengan pendekatan coping behavior yang menyertakan analisis sosiologis dan psikologis didalamnya. Tulisan ini akan memberikan gambaran sekilas tentang insiden Lumpur Lapindo dan posisi Besuki Timur dalam insiden tersebut. Selain itu, penulis juga berupaya untuk memberi gambaran singkat mengenai Sanggar Alfaz yang sudah berdiri sejak tahun 2009. Pada bagian akhir, penulis menambahkan tentang diskusi singkat dan refl eksi kritis sebagai penutup. Dari hasil penelitian menunjukkan bahwa Sanggar Alfaz menjadi wadah bagi para pemuda untuk meningkatkan kapasitas diri melalui beberapa kegiatan. Sanggar Alfaz juga menjadi ruang yang  memungkinkan bagi pemuda membangun jejaring sosial pemuda di dalam dan luar sanggar. Disamping itu, sanggar Alfaz juga berfungsi sebagai wadah untuk mengatasi krisis psikis dan krisis sosial para pemuda Besuki Timur sebagai akibatdari bencana lumpur Lapindo.Kata kunci : Sanggar Alfaz, Besuki Timur, pemuda, Lumpur Lapindo, situasi bencana.
Ecology of Yuqing County Carbon Sink Calculation and Ecosystem Protection Measures
Authors: Dejun Yin , Min Zhang , Huiyu Liu , Siyuan Xiang , Wu Yang , Mingxing Yang
Published: May 2023

Based on the remote sensing statistical data of land use of terrestrial ecosystems in Yuqing County, this paper calculates the amount of carbon sinks in the county according to the existing carbon sink carbon density index, compares the amount of different types of carbon sinks, and analyzes their respective carbon sink potential. The results show that the forest carbon sink is the largest, about 2.2 million tons, accounting for 75% of the total carbon sink in the county, showing the great potential of forest vegetation to absorb CO2 through photosynthesis, followed by the carbon sink produced by dry land (cultivated land), about 400,000 tons, accounting for 13% of the total carbon sink in the county; Although the amount of wetland aquatic carbon sink is small, its carbon density is very large, and it has the advantages of short renewal time and fast carbon sink, so it has great potential and can be artificially regulated to increase carbon sink. Based on the above research and analysis, combined with the spirit of the national carbon peak and carbon neutral policy and the natural law of ecosystem development, three measures to protect and increase carbon sinks in terrestrial ecosystems were put forward: (1) continuing to carry out forestry planting and do a good job in forestry protection; (2) stabilizing the surface water area and developing aquatic carbon sinks; (3) Establish a long-term monitoring system to ensure the contribution of carbon sinks, provide support for the protection of ecosystem and the development of carbon sink potential in Yuqing County from two aspects of science and management, and compare the amount of different types of carbon sinks, and analyze their carbon sink potential. On this basis, combined with the spirit of the national carbon peak and carbon neutral policy and the natural law of ecosystem development, three kinds of terrestrial ecosystem carbon sink protection and increase wording were put forward accordingly, which provided support for ecosystem protection and carbon sink potential development in Yuqing County from two aspects of science and management.
A Discourse on Diaspora: Exploring Identity and Alienation in Jhumpa Lahiri’s Unaccustomed Earth
Authors: Kumar Yogesh , Sushil Prof. Gunjan
Published: May 2023

Jhumpa Lahiri's Unaccustomed Earth (2008) is a collection of short stories that explores the experiences of immigrants and their descendants in the United States, particularly those of Bengali origin. This research paper critically examines the diasporic discourse of identity and alienation in Lahiri's work. Through a close analysis of selected stories from Unaccustomed Earth, this paper delves into the themes of cultural displacement, the search for identity, and the feeling of alienation among the characters. It also explores how these themes are intricately connected with the characters' diasporic experiences and the challenges they face in navigating their dual identities as immigrants or children of immigrants in a foreign land. The paper argues that Lahiri's portrayal of diasporic experiences reflects the complexities and nuances of the immigrant identity, the sense of unbelonging, and the constant negotiation between the old and new worlds. Moreover, it highlights how Lahiri's work engages with the tensions and conflicts that arise from the clash of cultural norms, the longing for home, and the struggle to reconcile with one's past while embracing the present.
Patologías congénitas y defectos del desarrollo en poblaciones arqueológicas en la costa desértica de Antofagasta
Authors: Andrade Pedro Manuel , Huerta Consuelo , Araneda Monserrat , Salazar Diego , Urrea-Navarrete Josefina , Martínez Víctor , Escobar Maldonado Manuel , Castro Victoria
Published: May 2023

This article presents a synthesis and discussion regarding congenital pathologies and developmental defects identified in the axial skeletons of individuals from different archaeological periods on the Antofagasta coast. Despite the small number of cases in the analyzed sample (n = 6), the research compares that figure with the cases reported for the coastal area of Arica and Tarapacá, revealing no statistically significant differences between the areas. Given the environmental and ethnohistorical background of the area, we propose that exposure to several natural contaminants and an endogamic kinship system are the most likely causes of these pathologies.
Development of Online Exam System for the Institution
Authors: Badve Naresh , Jagyasi Tony , Bansod Samruddhi , Dharmik Khushi , Shekokar Swati , Rotke Trisha , Gawande Sakshi
Published: May 2023

Abstract: Today online examination systems have become a fast-growing examination method because of its speed and accuracy. It is the simplest to use web-based applications for schools, colleges, universities, coaching classes, training centers, certification agencies, and recruitment firms to conduct timer-based, completely automated paperless examinations. The hassle of paper-based examination, physical presence of invigilators ensuring no cheating by the students or the strenuous task of checking each test paper by the examiner; this conservative practice is really tiring. Virtual Examination System is a web-based system, a modern standalone online examination platform for conducting virtual exams which has highlighting features like Full Screen constraint to eradicate malpractices by students, Instant results, and statistics right after completion of the test and many more.
Review Paper on Wireless Energy Transfer in Electric Vehicles
Authors: Popli Ketan , Agrawal Khushi , Raj Prafful
Published: May 2023

Abstract: The speed and capacity of magnetic field simulation and recent advances in power electronics have led to significant growth in the field of wireless power transfer. Electric vehicles are being investigated as possible alternatives to internal combustion engine vehicles in the future transport sector, especially for his CO2 reduction and alternative energy objectives. However, the vehicle's heavy weight, large capacity and limited range mean that many important issues need to be addressed. This paper presents a new dynamic wireless on-road charging system for electric vehicles.
RF Controlled Wind Energy Powered Vehicle
Authors: Rajashekar K
Published: May 2023

Abstract: An electric powered vehicle has a bank of batteries that runs the entire vehicle. This work focuses on charging the batteries of the vehicle on the run. This is done by capturing the wind that acts opposite of a moving car. There is always the flow of wind as long the cars moves with a speed. A wind turbine is mounted on the front of the vehicle to receive wind. The generator produces electricity from the wind and stores them in another battery. The vehicle moves with the pre-charged battery and a voltage sensing circuit is placed on one or more batteries of the vehicle to detect the drop in voltage. In such case the reservoir battery that gets charged through wind switches the position with the low voltage battery and continues to run the vehicle while the other battery gets charged. This process can go on until the vehicle comes to stationary. While one of the limitations of the electric vehicles is their short travel range compared to their excessive charging time. The travel range can be extended by charging the battery on the motion. This paper mainly focuses on the design of the wind powered car and to determine the power required for driving the system.
Smart Parking Monitoring System using RFID
Authors: Saini Mr. Deepak , Sharma Jyotirmaya , Singh Himanshu , Meena Kamal , Sharma Ishu
Published: May 2023

Abstract: Parking of the vehicle is the major issue in the cities at different location. Although there are many parking issue solutions and considering by past experience a parking solution in which help of RFID device. A smart reserve parking system using RFID is an advanced solution for managing parking spaces using radio-frequency identification (RFID) technology. This system allows drivers to reserve and access parking spaces securely and conveniently using RFID tags. The system uses RFID readers to identify and track the location of tagged vehicles, enabling drivers to find available parking spaces easily.The authentication technique implemented is RFID on the algorithm based on smart cards (RFID- tags). The data stored in the algorithm allows the entry/exit of the vehicle through which unauthorized vehicle not be permitted. The system offers benefits such as enhanced security, reduced traffic congestion, and improved user experience. Additionally, it provides parking operators with real-time data and analytics, enabling them to optimize parking space usage and generate revenue. Despite some challenges associated with the implementation of RFID technology, the benefits of the smart reserve parking system make it a promising solution for managing parking spaces in various environments, including urban areas, airports, and shopping malls
Smart Street Light and Motor
Authors: A Meenakshi , Manikanta Bhire , Khan Wasim , Sathvika Dasari Sai , Afridi S Syed
Published: May 2023

Abstract: 1. Smart Street Light: Electrical Energy consumption of a nation is an indicator of the economic and social growth of the country. With the increasing demand for non-conventional energy resources, the conservation of energy is an important domain in current research .Energy Conservation can be the best solution for the rising energy demand .Utilizing electricity efficiently and reducing its wastage as much as possible is an important criterion considering the depleting natural reserves of fossil fuel traditionally used its generation. This paved way for developing appliance based automation for energy conservation. The PIR sensor provides an alternative method to save power consumption by detecting human movement. 2. Smart Motor: Technology has been developing throughout the world as system moved from manual to auto. Appliances are Inductive, resistive and capacitive in nature. Inductive type are mostly motors. Three-phase Induction motor is one of the most common types of electrical machines with vast amount of applications in the entire power system all over the world due to its various advantages such as low starting power, lower maintenance cost etc. For the sake of economy and their longer life, it is very much necessary to provide them with feasible conditions to perform optimal operation with best possible smart protection techniques. Control elements used here are vibration as well temperature sensation with GSM based remote data acquisition technique for automatic operations as well as a manual control using a selector switch for automatic as well as manual operation and a molded case circuit breaker for protection purpose.
Facade Design Strategies to utilize Daylight in Composite Climate
Authors: Saxena Pankhuri , Gulati Prof. Dr. Ritu , Abdullah Tabish A
Published: May 2023

Abstract: An overview of the building envelopes and shading techniques utilised in composite climates to make advantage of solar radiation and daylight in modern architecture is provided in this study. It provides an examination of various methodologies and a concise analysis of illustrative case studies. As it has an impact on a building's energy usage, daylighting plays a significant part in sustainable architecture. By encouraging excellent human health, well-being, and user comfort, daylight not only lessens the need on artificial lighting but also serves to increase job productivity. This paper involves both passive strategies as well as adaptive facades that can be used in composite climate. Due to their capacity to alter their behaviour in real time in response to interior and outdoor conditions through the use of materials, components, and systems, adaptive building envelopes can enhance a building's energy efficiency and economics. Several various kinds of adaptable facades have already been created, and more cutting-edge developments are likely to follow soon. Various strategies and literature studies already existing are discussed in this paper.
Computer-Aided Detection of Skin Cancer Detection from Lesion Images Via Deep Learning Techniques: A Review
Authors: P Manju C , Jo Jeslin P , V Vinitha.
Published: May 2023

Abstract: Skin cancer is a widespread disease in many countries, with melanoma being the leading cause of skin cancer-related deaths worldwide. To detect skin cancers, including malignant melanoma and other types, deep learning-based algorithms have been developed for image classification. Early recognition of skin cancer signs is essential due to the increasing incidence of the disease, its high fatality rate, and expensive medical treatments. This study presents a literature review of various techniques used to identify skin cancer. These systems utilize image processing techniques such as feature extraction, segmentation, and classification to distinguish melanoma and other skin conditions. The article also provides information on skin cancer types, stages, and treatments, and highlights the various deep learning techniques employed in diagnosis. Although researchers have developed advanced machine learning methods to detect each stage of melanoma cancer, there is still a need for more accurate, faster, and affordable detection methods. The article emphasizes the importance of continued research in this field to address future directions for skin cancer detection.
Equity Market Price Prediction Forecast and Analysis with Technical Indicators and Diversification Analysis Using Deep Learning Technique
Authors: Singh Vijay Raj , V Manoj , GP Sunil Kumar , N Dr. Sheshappa S. , K Prof. Mr. Byre Gowda B.
Published: May 2023

Abstract: Many experts, analysts, and novice investors have found it challenging to predict valuations of shares. Investors are, in fact, quite interested in the field of price forecasting for equity study. Many investors are interested in understanding the future state of the equity market in order to make a smart and profitable investment. By giving helpful information like the equity market's future direction, good and effective equity market prediction systems assist traders, investors, and analysts. equity market price forecasting is a challenging undertaking that often necessitates intensive human-computer interaction. For forecasting share prices, many prediction approaches are available. The foundation of price for shares forecasting and other financial model forecasts is time series forecasting. More sophisticated time series prediction methods are necessary when share prices become less linear. The predictability of current systems is insufficient. In this research, we suggest using the LSTM Deep Learning Algorithm for effective equity price forecasting and analysis technique with diversification analysis. When compared to current equity price prediction systems, this will produce more accurate findings.
Virtual Study Space: A Novel Way of Focus Management
Authors: Architha Gudala , Gandham Nikitha Sharlene , Niharika Pasham , Harshitha S , Lakshmi S. Sri
Published: May 2023

Abstract: Spark motivation, productivity, and focus with aesthetic background study spaces along with a Pomodoro timer to keep study sessions productive using Virtual Study Space. In Virtual Study Space, students can create their custom environment from highly curated minimalist themes, and work with the ability to control background noises to reduce distraction that provides the perfect background companion while one is working away at a lengthy to-do list. The virtual environment also features a video call for students to work together as a team to promote learning using collaboration to support the provision of organizational activities and the exchange of information and educational material. Thus, the implementation of this website becomes a practical depiction of the relations between rational beliefs about studying, academic procrastination, academic life satisfaction, and academic achievement. Tasks in the creation of the website include the development of the study environment, which is setting up web elements and embedding videos as workspaces. The student can choose user-friendly backgrounds according to the study moods such as cafes, nature and libraries. Next is the building of the timer where the user can work along with break time scheduled according to the Pomodoro timer. Lastly, the website has a feature of tracking tasks inside the study space by making a list of priorities to enable efficient planning of tasks to be accomplished in the correct time frame to keep the studentorganized with their work.
Evaluation of Bearing Capacity for Cast In-Situ Bored Piles
Authors: E Nishma , Sonu Amna K
Published: May 2023

Abstract: Pile is a structural element constructed to overcome heavy loads from super structure, when proper bearing strata is not available at shallow depth. The prediction of bearing capacity of a bored cast in-situ pile is a complex problem, as it depends on installation method, concrete quality, ground condition and pile geometry. It is considered that the reliable method for finding bearing capacity is pile load test, which is time consuming and costly. The bearing capacity can also be analysed by empirical and analytical methods using soil data and SPT data. In this paper, empirical methods and graphical methods are used to evaluate beating capacity of cast in-situ bored piles. For empirical methods - IS code method, Meyerhof method, Bazaraa and Kurkur method are employed and for graphical methods - Hansen’s method, Chin-Kondner’s method, Decourt’s Extrapolation method are employed. All these methods are summarized for comparison with the pile load test values. A database of 3 bored piles is collected from different sites in Kerala. The above chosen SPT methods are calibrated by trial and error method to propose a new formula. A pile structural design also proposed.
Analysis and Design of Foot Over Bridge
Authors: Vaidya Dr. Vinayak , Ugemuge Prasad , Wakpaijan Gautam , Tiple Shrutika , Bhadke Nikhil
Published: May 2023

bstract: A foot over bridge (FOB) is a pedestrian walkway that is built over a road or a railway track to provide a safe and convenient passage for pedestrians. The analysis and design of a foot over bridge involves various aspects such as structural design, architectural design, and safety features. In this paper, we will discuss the key considerations involved in the analysis and design of a foot over bridge. The first step in the analysis and design of a foot over bridge is to identify the location and purpose of the bridge. The location of the bridge determines the traffic flow, the pedestrian traffic, and the environmental factors that need to be considered in the design. The purpose of the bridge may be to connect two points, provide access to a specific location, or provide a safe passage over a hazardous area. The next step is to carry out a structural analysis of the bridge. This involves calculating the loads that the bridge will have to bear, such as the weight of the pedestrians, the wind loads, and the seismic loads. Based on these calculations, the dimensions of the bridge and the materials to be used can be determined. The architectural design of the bridge is also an important aspect of the analysis and design process. The design should be aesthetically pleasing and should blend in with the surrounding environment. The design should also consider the needs of the pedestrians, such as the width of the bridge, the slope of the ramps, and the placement of the handrails. Safety features such as lighting, signage, and emergency exits are also important considerations in the analysis and design of a foot over bridge. The lighting should be sufficient to ensure visibility during the night, and the signage should be clear and easy to understand. Emergency exits should be provided in case of an emergency and should be clearly marked. In conclusion, the analysis and design of a foot over bridge involves various aspects such as structural design, architectural design, and safety features. The design should consider the location, purpose, and needs of the pedestrians, and should be aesthetically pleasing while ensuring the safety of the pedestrians.
Preparation and Evaluation of Herbal Nutmeg Night Face Cream
Authors: Patil Roshan , Chaudhari Satyajeet , Chaudhari Tejas , Patil Dr. Sunila
Published: May 2023

Abstract: The spice known as nutmeg is manufactured from the seeds of the tropical evergreen tree Myristica fragrans (family Myristicaceae). Nutmeg is used to flavour a variety of baked items, confections, puddings, potatoes, meats, sausages, sauces, vegetables, and beverages like eggnog. It has a distinctly pungent scent and a toasty, somewhat sweet taste. Nutmeg is believed to have antibacterial, anti-inflammatory, and antioxidant properties, which could help to improve the overall health and appearance of the skin. Nutmeg cream is often used to address issues such as acne, inflammation, and signs of aging. It may also help to improve skin texture and tone, as well as reduce the appearance of dark spots and blemishes. Spreadability of the developed formulation was good. The cream's PH and viscosity were both good. During storage, cream doesn't exhibit any phase separation of any kind.
Analysis of Front Roof Header of Vehicle for Rollover Protection by using Ansys Software
Authors: Patole Rushikesh , Sangale Sandesh , Bhusare Amol , Sanap Siddhesh
Published: May 2023

Abstract: Inadequate roof strength in vehicles is a major concern as it greatly increases the risk of head and neck injuries for passengers involved in even minor rollover accidents. Despite this, many manufacturers continue to produce cars with inadequate roof strength. Rollover accidents are unfortunately quite common and often result in serious injuries, such as spinal and neck trauma. Even when wearing a seatbelt, front seat passengers can still be at risk of injury as they may be thrown from the vehicle or experience significant forces during the rollover. The key to reducing these risks lies in ensuring that the roof of the vehicle is strong enough to withstand the compressive forces of a rollover and provide enough living space for the occupants. While airbags and seat belts are important safety features, a strong roof is equally essential to protecting passengers. For this reason, we have undertaken a project to improve the strength of the front roof header in order to enhance the safety of vehicle occupants.
Review on Design Fixtures for Wheel House of Car
Authors: Gujar Namdeo R. , Fulmali Shrikant M. , Sheikh M.J.
Published: May 2023

Abstract: A fixture is a work-holding device used in the manufacturing industry. Fixture’s primary purpose is to create a secure mounting point for a work piece, allowing for support during operation and increased accuracy, precision, reliability, and interchange ability in the finished parts. This paper present Review on Design of fixture for wheel house of car. This component is a part of Four wheeler Car. The operation to be performed is Spot welding. The evaluated fixture uses Mylar, Riser, Clamp arm ,Plate, Base plate, welding part used for work support for holding the work piece driven by Pneumatic Air. This is Multipale used new fixture achieves automatic clamping of parts in same fixture.
Physicochemical Properties of Sprat (Sprattus sprattus L., 1758) Protein Hydrolysate and Usage as a Coating Material on Trout (Oncorhynchus mykiss, Walbaum, 1792) Fillets
Authors: Balçık Mısır Gülsüm , Dağtekin Büket Buşra , Kutlu Sebahattin
Published: May 2023

Trout is the most widely cultivated and traded fish species in Turkey and many European countries, and a total of 471686 tons of production was realized in Turkey’s seas and inland waters in 2021. In addition to its nutritive value, this fish takes a crucial position in the aquaculture sector due to its continuous and intensive production. In this study, innovative bioactive protein hydrolysates (PH) produced from sprat were used as a coating to increase the quality and shelf life of trout fillets stored at +4 ˚C. The yields of traditional hydrolysate (TH) and ultrasound-assisted hydrolysate (UH) were 8.66% and 12.63%, respectively. Protein values of TH and UH were 75.88 and 74.45%, respectively. Three fillet groups were prepared from trout: uncoated control group (C), traditional enzymatic protein hydrolysate coated group (THC), and ultrasound-assisted enzymatic protein hydrolysate coated group (UHC). TVB-N value, which was 12.96 mg/100g in fresh trout, exceeded the consumable limit with 38.52 mg/100g on the 9th day of storage in the C. This value reached 32.92 mg/100g and 33.62 mg/100g on the 12th day for THC and UHC, respectively. At the beginning of storage, 0.21 mg MA/kg TBA reached the consumable limit with 7.72 mg MA/kg in the C on the 9th day, while THC and UHC remained within the limit with 6.67 mg MA/kg and 6.79 mg MA/kg, respectively. Total aerobic mesophilic bacteria (TAMB) and total aerobic psychrophilic bacteria (TAPB) counts on day 0 of storage were 2.13 log cfu/g and 1.66 log cfu/g, respectively. These values were calculated as 6.90, 5.20, 5.04, 6.95, 3.48, and 3.22 log cfu/g for C, THC, and UHC on the 12th day of storage, respectively. The application of ultrasound during the production of protein hydrolysate significantly increased the yield and hydrolysis degree of UH compared to TH. The lipid ratio of UH was also found to be significantly lower than TH. In these respects, the application of ultrasound has provided an advantage. Although both coatings have provided significant protection compared to the C, generally similar results were obtained between the THC and UHC. PH coatings delayed the chemical, physical, and microbial spoilage of trout fillets and extended the storage period. The results showed that PH can be used as a coating on fish fillets stored in cold conditions.
Behavioral Interventions in Otolaryngologic Diseases With Oropharyngeal Dysphagia: A Narrative Review
Authors: Ko Sung-Hwa
Published: May 2023

Dysphagia is a common symptom in otolaryngologic diseases. For the treatment of oropharyngeal dysphagia, conservative treatment is primarily considered, including behavioral Interventions, modified diet, and facilitation. Behavioral interventions include posture change, swallowing maneuvers, and excise. If a patient is diagnosed with dysphagia caused by oropharyngeal motor dysfunction, behavioral interventions should be actively considered. When applying treatment, it is necessary to apply the treatment tailored to each patient based on the biomechanics of dysphagia through diagnostic evaluations rather than uniform behavioral interventions depending on the disease.
Comparison of Voice Outcomes Between Minimally Invasive Open Hemithyroidectomy and Conventional Hemithyroidectomy
Authors: Seo Myeonggu , Jang Jiwon , Cheon Yong-Il , Shin Sung-Chan , Kim Geun-Hyo , Kim Bo Hyun , Kim In Ju , Lee Byung-Joo
Published: May 2023

Background and Objectives Voice change after thyroidectomy is a common complication that affects a patient’s quality of life. In this study, we aimed to compare voice outcomes between minimally invasive open hemithyroidectomy (MIOT) and conventional hemithyroidectomy.Materials and Method We enrolled 215 patients who underwent hemithyroidectomy performed by an experienced surgeon at our institute between June 2017 and December 2021. All patients underwent voice evaluations, including subjective and objective assessments, preoperatively and 2 weeks and 2 months postoperatively.Results Sixty-one patients underwent MIOT (M group) and 154 patients underwent conventional hemithyroidectomy (C group). There were 50 female (82.0%) and 11 male (18.0%) in the M group, and 129 female (83.8%) and 25 male (16.2%) in the C group. In both groups, the thyroidectomy-related voice questionnaire score increased at 2 weeks and 2 months postoperatively. However, no statistically significant differences were observed between the two groups. Voice parameters were analyzed according to sex. There were some changes in the parameters in both groups. However, no statistically significant differences were observed between the two groups.Conclusion Our study showed no differences in the acoustic results between MIOT and conventional hemithyroidectomy.
Recent progress in self-powered sensor based on liquid-solid triboelectric nanogenerator
Authors: Nguyen Quang Tan , Vu Duy Linh , Le Chau Duy , Ahn Kyoung Kwan
Published: May 2023

Self-powered sensors have emerged as a promising solution to this
challenge, offering a range of benefits such as low cost, high
stability, and environmental friendliness. One of the most promising
self-powered sensor technologies is L-S TENG, which stands for the
liquid-solid triboelectric nanogenerator. In this review paper, the
working principle with three basic modes has been briefly introduced
firstly. After that, affecting parameters to L-S TENG are reviewed based
on the properties of the liquid and solid phases. With different working
principles, L-S TENG has designed a lot of structure that works as
self-powered sensor for pressure/force change, liquid flow motion,
concentration, and chemical detection or biochemical sensing. On the
other hand, the continuous output signal of TENG plays an important role
in a real-time sensor which is extremely necessary for the development
of the Internet of Things.
Identification of hybrids between the Japanese giant salamander (Andrias japonicus) and Chinese giant salamander (Andrias davidianus) using deep learning and smartphone images
Authors: Takaya Kosuke , Ise Takeshi , Taguchi Yuki
Published: May 2023

Biological invasions are recognized as one of the factors causing
biodiversity loss. Incomplete reproductive isolation with a closely
related species can result in hybridization when a non-native species is
introduced into a new habitat. Management of hybrids is essential for
biodiversity conservation; however, the distinction between the two
species becomes a challenge in cases of hybrids with similar
characteristics to native species. Although image recognition technology
can be a powerful tool for identifying hybrids, studies have yet to
utilize deep learning approaches. Hence, this study aimed to identify
hybrids between native Japanese giant salamanders (Andrias japonicus)
and non-native Chinese giant salamanders (Andrias davidianus) using
EfficientNet and smartphone images. We used smartphone images of 11
native individuals (with 5 training and 6 test images) and 20 hybrid
individuals (with 5 training and 15 test images). In our experimental
environment, an AI model constructed with efficientNet-V2 showed 100%
accuracy in identifying hybrids. In addition, highlighting the regions
that influenced the AI model’s predictions using Grad-CAM revealed that
salamander head spots are responsible for correctly classifying native
and hybrid species. The results of this study revealed that our approach
is one of the methods that enable the identification of hybrids, which
was previously considered difficult without identification by the
experts. Furthermore, since this study achieved high-performance
identification using smartphone images, it is expected to be applied to
a wide range of low-cost identification using citizen science.
Constraint-Based Multi-Agent Reinforcement Learning for Collaborative Tasks
Authors: shang xiumin , Xu Tengyu , Karamouzas Ioannis , Kallmann Marcelo
Published: May 2023

In order to be successfully executed, collaborative tasks performed by
two agents often require a cooperative strategy to be learned. In this
work, we propose a constraint-based multi-agent reinforcement learning
approach called Constrained Multi-agent Soft Actor Critic (C-MSAC) to
train control policies for simulated agents performing collaborative
multi-phase tasks. Given a task with n phases, the first
n-1 phases are treated as constraints for the final task phase
objective, which is addressed with a centralized training and
decentralized execution approach. We highlight our framework on a tray
balancing task including two phases: tray lifting and cooperative tray
control for target following. We evaluate our proposed approach and
compare it against its unconstrained variant (MSAC). The performed
comparisons show that C-MSAC leads to higher success rates, more robust
control policies, and better generalization performance.
Delivery of Re-irradiation and Complex Palliative Radiotherapy Using Proton Therapy in Pediatric Cancer Patients
Authors: Berlin Eva , Eisenberg Rachel , Hill-Kayser Christine , Lustig Robert , Kurtz Goldie , Cummings Elizabeth , LaRiviere Michael
Published: May 2023

Background: Characterize indications for pediatric
palliative-intent proton radiation therapy (PIPRT). Procedure:
We retrospectively reviewed patients ≤21 years who received PIPRT. We
defined PIPRT as radiotherapy (RT) aimed to improve cancer related
symptoms/provide durable local control in the non-curative setting.
Mixed proton/photon plans were included. Adjacent reirradiation (reRT)
was defined as a reRT volume within the incidental dose cloud of a prior
RT target, whereas direct reRT was defined as in-field overlap with
prior RT target. Acute toxicity during RT until first inspection visit
was graded according to the Common Terminology Criteria for Adverse
Events. The Kaplan-Meier method, measured from last PIPRT fraction, was
used to assess progression free survival (PFS) and overall survival
(OS). Results: 18 patients underwent PIPRT between 2014-2020.
Median age at treatment start was 10 years (2-21). Median follow up was
8.2 months (0-48). Treatment sites included: brain/spine (10),
abdomen/pelvis (3), thorax (3) and head/neck (2). Indications for
palliation included: durable tumor control (18), neurologic symptoms
(4), pain (3), airway compromise (2), and great vessel compression (1).
Indications for protons included: reRT (15) (4 adjacent, 11 direct),
craniospinal irradiation (4), reduction of dose to normal tissues (3).
16 experienced grade (G) 1-2 toxicity; 2 G3. There were no reports of
radionecrosis. Median PFS was 5.3 months (95% CI 2.7-16.3). Median OS
was 8.3 months (95% CI 5.5-26.3). Conclusions: The most common
indication for PIPRT was reRT to provide durable tumor control. PIPRT
appears to be safe, with no cases of high grade toxicity.
Pollen morphology of Uraria Desv. and Christia Moench (Fabaceae) in China
Authors: Zhao Xue-Li , Wang Fang , Miao Jia , Zhou Sheng-Mao
Published: May 2023

Uraria Desv. and Christia Moench are two closely related
genera in Fabaceae and are of high medicinal and ornamental value. To
examine the pollen variability and evaluate its taxonomic significance,
the pollen morphology of 18 samples representing six species in
Uraria and three species in Christia was investigated
using scanning electron microscopy (SEM), and both qualitative and
quantitative palynological features were examined. The pollen grains
were measured, described, and electron photomicrographs were taken. The
pollen grains of nine species have tricolpate apertures. Three types of
pollen shapes, that is, spheroidal, prolate, and perprolate were
observed, where the perprolate pollen grains were predominant. The exine
ornamentation of pollen grains is reticulate or rugulate. A high level
of interspecific and intraspecific variation in the shapes of pollen
grains in Uraria and Christia was observed. The principal
component analysis (PCA) revealed that the first two principal
components accounted for 79.43 % of the total variance, where P/E, pore
shape, exine ornamentation, and pore size are valuable taxonomic
characters in these two genera. Our results suggested that it was
challenging to use pollen morphology as taxonomic features at
interspecific or intraspecific taxonomic levels, but palynological
assessments could provide valuable evidence to understand the origin and
evolutionary process of plants at the taxonomic levels of genus or
family.
Misuse of the FNIRS Obfuscates Vigilance Cerebral Haemodynamics
Authors: Guidetti Oliver , Speelman Craig , Bouhlas Peter
Published: May 2023

This review identifies cerebral haemodynamic fluctuations characteristic
of vigilance decrement, the tendency for lapses in sustained attention
to snowball with time on task. These characteristic fluctuations,
previously missed by existent literature, can be ascribed to a series of
methodological and analytic confounds associated with the use of
Functional Near Infrared Spectroscopy (FNIRS) to record regional tissue
oxygen saturation (rSO2) over the anterior frontal lobes during
sustained attention tasks. This review triangulates a sequence of
changes in rSO2 characteristic of vigilance decrement, that maps to
bio-cognitive models of the human attention system. Previous studies may
not have been able to identify this characteristic sequence, because
data was either not recorded for a sufficient amount of time or used
bucket averaging analysis methods that obfuscated changes in rSO2.
Lessons learned through this review may reinform FNIRS research methods
and ultimately lead future researchers to design experiments that better
leverage rSO2 as a measure of human attentional performance.
Click-Chemistry Hydrogel Delivery Aggregation-Induced Emission-Active Nanovesicles Enables “One-Stop” Remodeling and Antibiosis on Deep Scald Wound
Authors: Chen Xu , Zhao Meijiao , Xie Qihu , Zhou Sitong , Qianzuo Yanan , Zhong Xiaoping , Zheng Judun , Yang Ronghua , Du Xianjin , Xia Jinyu , Liao Yuhui
Published: May 2023

The serve burn or scald wounds always face persistent infections and
self-repair function decline caused by serious tissue necrosis, leading
to delayed healing or even sepsis. In this work, we proposed a
click-chemistry hydrogel delivery system of antibacterial and tissue
remodeling function nanovesicles for deep scald wound treatment. An
hydrophilic photodynamic aggregation-induced emission photosensitizer
4-(2-(5-(4-(diphenylamino)phenyl)thiophen-2-yl)vinyl)-1-(2-hydroxyethyl)
pyridin-1-ium bromide (THB) was firstly encapsulated into nanovesicles
derived from easily accessible adipose stem cells (ANVs) to create
THB@ANVs, which exhibits enhanced bacteria-targeting property and
multiple tissue remodeling effects. To deliver THB@ANVs, an injectable
click-chemistry hydrogel of carboxymethyl chitosan was used to form a
wound treatment system for deep scald wounds. The hydrogel can well
matching the wound morphology and respond to the acidic microenvironment
of the wound to accelerate sustained release. In vivo wound healing
evaluations show that the composite hydrogel can efficiently accelerate
wound healing by reducing the number of bacteria, promoting early
angiogenesis, and regulating immune reaction. This study provides a
simple, low-cost, and effective “one-stop” strategy with diverse
functions and wide applicability for scald wound remodeling and
antibiosis.
Identifying the variety of jovian X-ray auroral structures: tying the morphology of X-ray emissions to associated magnetospheric dynamics
Authors: Weigt Dale Michael , Jackman Caitriona M , Pombo Diego Moral , Badman Sarah V , Louis Corentin Kenelm , Dunn William , McEntee Seán Christopher , Branduardi-Raymont Graziella , Grodent Denis , Vogt Marissa F. , Tao Chihiro , Gladstone Randy , Kraft Ralph P. , Kurth William S , Connerney John E. P.
Published: May 2023

We define the spatial clustering of X-rays within Jupiter’s northern
auroral regions by classifying their distributions into ‘X-ray auroral
structures’. Using data from Chandra during Juno’s main mission
observations (24 May 2016 – 8 September 2019), we define five X-ray
structures based on their ionospheric location and calculate the
distribution of auroral photons. The morphology and ionospheric location
of these structures allow us to explore the possibility of numerous
X-ray auroral magnetospheric drivers. We compare these distributions to
Hubble Space Telescope (HST)and Juno (Waves and MAG) data, and a 1D
solar wind propagation model to infer the state of Jupiter’s
magnetosphere. Our results suggest that the five sub-classes of ‘X-ray
structures’ fall under two broad morphologies: fully polar and low
latitude emissions. Visibility modelling of each structure suggests the
non-uniformity of the photon distributions across the Chandra intervals
are likely associated with the switching on/off of magnetospheric
drivers as opposed to geometrical effects. The combination of
ultraviolet (UV) and X-ray morphological structures is a powerful tool
to elucidate the behaviour of both electrons and ions and their link to
solar wind/magnetospheric conditions in the absence of an upstream solar
monitor.
Incorporating K-RDT Product into SAS Deep Convection Scheme for Improved Short-term Prediction of Heavy Rainfall in South Korea
Authors: Chang Eun-Chul , Yeo Namgu , Min Ki-Hong
Published: May 2023

In this study, we examined the potential of the Korea Rapid-Development
Thunderstorm (K-RDT) product obtained from a geostationary
meteorological satellite to improve the short-term prediction of heavy
rainfall caused by a mesoscale convective system over South Korea.
Specifically, we utilized a simple nudging technique to integrate K-RDT
data into the Simplified Arakawa Schubert (SAS) deep convection scheme
of the Global/Regional Integrated Model System (GRIMs) Regional Model
program (RMP). Our analysis focuses on selected cases of heavy rainfall.
The nudging experiments outperformed the control experiments in terms of
precipitation forecasts. Notably, the experiment that used longer
nudging times produced the best results. Our results also demonstrate
that the K-RDT, with its resolution of 1 km, can detect small-scale
convective cells that have clear impacts on large-scale atmospheric
fields. This suggests that incorporating such small-scale information
into numerical weather prediction (NWP) models can significantly improve
forecasting skill, especially when the model cannot represent
subgrid-scale convection.
Validation of the Geostationary Lightning Mapper with a Lightning Mapping Array in Argentina: Implications for Current and Future Spaceborne Lightning Observations
Authors: Lang Timothy James
Published: May 2023

A validation study of the Geostationary Lightning Mapper (GLM) on board
the Geostationary Operational Environmental Satellite 16 (GOES-16) was
done using a ground-based lightning mapping array (LMA) deployed as part
of the Remote sensing of Electrification, Lightning, And
Mesoscale/microscale Processes with Adaptive Ground Observations
(RELAMPAGO) field campaign in Argentina. GLM detected lightning with
74.6% efficiency over 61 thunderstorm days in December 2018 through
April 2019. However, GLM detection efficiency (DE) was negatively
correlated (r = -0.49) with LMA flash rate. GLM DE also was negatively
correlated with LMA flash altitude (r = -0.24), reflecting the influence
of multiple competing trends. GLM DE was positively correlated (r =
0.27) with number of LMA sources in a flash, indicating improved DE for
larger flashes. During periods with anomalously electrified storms, GLM
DE was reduced to 50.9%. Statistics were found to be sensitive to
analysis criteria, but most of the above trends remained consistent
regardless of specific criteria. Because the methodology allowed a GLM
flash to match more than one LMA flash, actual GLM flash rate was a
factor of 2.9 lower than the LMA flash rate, and this ratio grew larger
as LMA flash rate increased. A sensitivity study examined the impact of
improved DE for smaller flashes; that is, an improved sensor (or
algorithm) that was better able to detect and distinguish between
separate small lightning flashes. The results showed improved
correlation with LMA flash rates, as well as improved ability to
identify lightning jumps associated with intensifying convection.
Effect of Solar Farms on Soil Erosion in Hilly Environments: A Modeling Study from the Perspective of Hydrological Connectivity
Authors: Liu Hu , Wu Chuandong , Yu Yang , Zhao Wenzhi , Liu Jintao , Yu Hailong , Zhuang Yanli , Yetemen Omer
Published: May 2023

Compared to the growing number of utility-scale solar farms (USFs)
sitting in hilly regions, knowledge of the hydrological behaviors in
responding to the installation of USFs in these environments remains
limited. We present herein a novel model (the Solar-Farm model) to
understand the hydrological behaviors following the construction of a
USF in the Loess Hilly Region of China, by combining it with an index of
hydrological connectivity (HC). Scenarios were designed to estimate the
effects of climate and terrain in controlling the effects of the USF on
soil erosion, by altering the mean annual precipitation amount, the
frequency of precipitation events, and the relief amplitude. Our results
show that land use changes (e.g., vegetation removal) incurred a
considerable increase in the accumulative soil erosion (22.45%-66.48%)
during the installation period. During the 40-year deployment period,
photovoltaic panels (PVs) incurred an average of 0.138 m deeper erosion
in the USF compared with the background rate without PVs. A wetter
climate induced the highest increase (88.25%) in erosion. However, the
relief amplitude and precipitation frequency are also confirmed as
important controlling factors for soil erosion (increased by 85.42% and
58%, respectively). The HC was increased during both the construction
(0.005-0.12) and operation periods (0.149-0.314). Correlation analysis
presented that the landscapes with higher HC were more likely to be
exposed to the risks of soil erosion. USFs could increase soil erosion
by increasing runoff and local HC, and higher background HC in turn
could further aggravate the effects of USFs on soil erosion.
Yesterday's high tide is today's new normal
Authors: Piecuch Christopher G. , Hamlington Benjamin Dillon
Published: May 2023

The daily rise and fall of the tides are intimately familiar to those
living on the coast. However, due to sea-level rise, what communities in
the United States now experience as the highest, lowest, and average
water levels on a typical day no longer corresponds to the official
definitions of high tide, low tide, and mean sea level, respectively.
Water levels now regularly exceed official high tide along parts of the
Chesapeake Bay, Gulf Coast, and Puerto Rico. In other words, yesterday’s
high tide is becoming today’s new normal. This demonstrates how
sea-level rise is radically redefining the American shore.