bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of High Resolution Helicopter Cable Obstacle Avoidance LIDAR
Authors: Zhang Xiangwei , Ma Qun , Chen Yujiao , Gong Changmei , Liu Baoyuan , Han Feng , Yu Xun
Published: May 2023

A high-resolution helicopter cable obstacle avoidance LIDAR is designed by the laser parallel scanning method, combined with the 3×2 rectangular detector array, which greatly reduces the conventional laser radar in the detection of the cable blind area. By simulating the actual detection state of helicopter through the UAV hanging-off test, the cable at 150m is clearly detected at the data refresh rate of 2Hz. Through the range detection test, it is verified that the detection distance of the system for φ20 cable is more than 283m.
Relaxed AVL trees with extra nodes
Authors: ZEGOUR D.E
Published: May 2023

A relaxation of AVL tree is proposed with no additional space. The original implementation of AVL trees uses two additional bits per node to control the tree balance and only three configurations are used to represent the possible balance factors. We exploit the fourth configuration to add extra nodes to the AVL tree. These nodes do not alter the rebalancing process. As a result, the new data structure, called the AVL-2 tree, is adjustable in height, making search, insert and delete operations faster or slower, depending on application needs. The height is at most equal to 2.88 lg2(N) where N is the tree size and lg2 is the base 2 logarithm. Unlike other data structures, an unsuccessful search can stop on an internal node and almost 80% of the data can be deleted with at most two pointer changes.
Sublethal co-exposure of zinc and iron mitigates paraquat herbicide toxicity affecting the physiological responses of Egyptian cotton leafworm Spodoptera littoralis
Authors: Shaik Haq Abdul , Mishra Archana
Published: May 2023

Metals and herbicides present in the environment affect the vital functions of insect pests, including their development, tolerance, resistance, and survival. Such metal-herbicide interactions will have inevitable, but complicated effects on insects, which remains poorly understood. Here, the interaction of zinc (Zn), iron (Fe), and paraquat (PQ) at subleathal dose on the physiological responses of the Egyptian cotton leafworm Spodoptera littoralis was examined. Co-exposure of Zn/ Fe enhanced the survival of leafworms (10 to 20 mg 100%; 40 mg 85%) compared to separate exposure. Low exposure to Zn/Fe/PQ had the lowest toxicity, possibly because metal complexes have efficient chelating activity, allowing the leafworm to survive longer. Low exposure to Zn, Fe, and Zn/Fe increased food intake and larval weight significantly, and affected frass production. PQ alone hindered feeding, enhanced frass production, and reduced larval weight. In contrast, Zn/Fe and PQ/Zn alleviated toxic effects. Interestingly, Zn/Fe/PQ combined increased larval and pupal weight in surviving individuals. Larval mortality was highest with high doses of PQ (40 mg) and in metal co-exposure diets, with no larvae reaching the pupal stage. Zn/Fe appeared to be essential for the ecdysis of larvae to pupae, with lower larval mortality and extended pupal ecdysis (% days). This study demonstrated the realistic conditions of Zn and Fe interactions with PQ, providing important information regarding physiological toxicity and pest management. Tests on haemolymph-bacteria of S. littoralis using disc diffusion method revealed significant differences with Zn, Zn/Fe, Zn/Fe/PQ, stating their interaction might play a crucial immunomodulatory role in S. littoralis.
Why and how do parents secretly abandon their children? The psychosocial burden they went through: Qualitative case study in Gondar City, Ethiopia
Authors: Yesuf Yassin Mohammed , Bewketu Adonawit Ayalew , Ahmed Habib Seid
Published: May 2023

Purpose
Globally, studies on parents who secretly abandoned their children scarce and were unavailable in Ethiopia. This study, therefore, explored the lived experiences of mothers/fathers who secretly abandoned their children.
Methods
Qualitative case study design was employed. Semi-structured interviews were conducted with purposefully selected parents in Gondar city. Thematic content analysis was employed to analyse the data.
Results
In the present study, three core themes emerged: parents’ situation before delivery, parents’ child abandoning experiences, and parents’ psychosocial conditions after abandonment. Contextual factors before and after the child is born (e.g. challenging life situation, unwanted pregnancy, rape/abuse, etc.) played important roles in later child abandonment. Child abandonment is a process that includes contemplation, preparations and taking actions. Economic hardships, exacerbated by sociocultural factors pushed parents to abandon their children. Psychological sufferings begin before abandonment and continued after the abandonment.
Conclusions
Child abandonment, as one form of avoiding parental responsibilities, is not a onetime act and sociocultural factors exacerbated the economic push factors. Therefore, it is recommended that extensive participatory studies, psychosocial support for vulnerable parents, and awareness creation campaigns need to be in place to mitigate child abandonment.
Performance-based active learning for skewed data with nonparametric logistic regression
Authors: Lee Wonjae , Seo Kangwon
Published: May 2023

Real-world data often exhibit skewed distribution with a long tail, where certain target values have significantly fewer observations rather than preserving an ideal uniform distribution over each category, which substantially affects model performance for classification problems. Furthermore, parametric logistic regression provides a fundamental classification model with ease of interpretation; however, it is doubtful that the logit function of classification is truly linear in covariates. This research proposes the performance-based active learning (PbAL) scheme with nonparametric logistic regression to address the imbalance problem considering the nonlinear decision boundary. The PbAL is applied to choose the most informative samples in a sequential manner with an imbalanced dataset by directly evaluating a performance metric on a pool set. The nonparametric logistic regression model with smoothing splines is used to achieve a flexible classification boundary. The experiments show that PbAL outperforms traditional active learning approaches based on D-optimality and A-optimality. It is also shown that the proposed method provides superior outcomes compared to the other resampling techniques used for imbalanced classification problems, such as Tomek Link and SMOTE, even with a smaller sample size. This result suggests that PbAL effectively mitigates the bias, which severely influences the model performance with small amounts of initial training data.
Rezidivhäufigkeit der Basalzellkarzinome im Gesichts- und Kopfbereich in Abhängigkeit der Lokalisation und des Resektionsstatus im Vergleich zur Literatur
Authors:   , Salewski Deborah Lina
Published: May 2023

Ziel der Arbeit ist es die Eigenschaften und die Häufigkeit von Rezidiven der primär und sekundär therapierten Basalzellkarzinome der MKPG, insbesondere in Abhängigkeit der Lokalisation und des Resektionsstatus zu evaluieren und mit den Ergebnissen der Literatur zu vergleichen, um ein optimiertes chirurgisches Vorgehen zu sichern.
Deriving density-matrix functionals for excited states
Authors: Liebert Julia , Schilling Christian
Published: May 2023

We initiate the recently proposed ww-ensemble one-particle reduced density matrix functional theory (ww-RDMFT) by deriving the first functional approximations and illustrate how excitation energies can be calculated in practice. For this endeavour, we first study the symmetric Hubbard dimer, constituting the building block of the Hubbard model, for which we execute the Levy-Lieb constrained search. Second, due to the particular suitability of ww-RDMFT for describing Bose-Einstein condensates, we demonstrate three conceptually different approaches for deriving the universal functional in a homogeneous Bose gas for arbitrary pair interaction in the Bogoliubov regime. Remarkably, in both systems the gradient of the functional is found to diverge repulsively at the boundary of the functional’s domain, extending the recently discovered Bose-Einstein condensation force to excited states. Our findings highlight the physical relevance of the generalized exclusion principle for fermionic and bosonic mixed states and the curse of universality in functional theories.
Dizel Motorlarda Dimetil Eter Kullanımının Partikül Madde Emisyonlarına Etkileri Üzerine Bir Derleme
Authors: SEZER İsmet
Published: May 2023

Bu çalışma, dizel motorlarda dimetil eter (DME)’in saf veya yakıt katkısı olarak kullanımı üzerine yapılmış çeşitli çalışmaların sonuçlarından yararlanılarak derlenmiştir. Dizel motorlarda zararlı egzoz emisyonlarını azaltmanın birkaç yöntemi vardır. Bunlardan ilki motor tasarımında ve yakıt enjeksiyon sisteminde modifikasyonlar yaparak yanmanın iyileştirilmesidir, ancak bu pahalı ve zaman alıcı bir yöntemdir. İkinci yöntem ise katalitik konvertör ve partikül fitresi gibi donanımlar kullanmaktır, ancak bu donanımlar motor performansını olumsuz yönde etkiler. Hem egzoz emisyonlarını azaltmak hem de motor performansını artırmak için uygulanan son yöntem çeşitli alternatif yakıtların veya yakıt katkılarının kullanılmasıdır. Dizel motorlardaki en önemli emisyonlar azot oksitler (NOx) ve partikül madde (PM) emisyonlarıdır. Çoğu araştırmacı emisyonları azaltmanın en iyi yolunun doğalgaz, biyogaz, biyodizel gibi alternatif yakıtların veya konvansiyonel veya alternatif yakıtlarla birlikte çeşitli yakıt katkılarının kullanılması olduğunu bildirmektedir. Bu nedenle, alternatif yakıtlar ve yakıt katkıları üzerine yapılan çalışmaların sonuçlarının birlikte değerlendirilmesi pratik uygulamalar için oldukça önemlidir. Bu çalışma, dimetil eterin dizel motorlarda yakıt veya yakıt katkısı olarak kullanılmasının PM emisyonları üzerindeki etkilerinin incelenmesine odaklanmıştır. Yapılan derleme çalışması sonucunda; DME saf olarak kullanıldığında yüksek oksijen içeriği, kimyasal yapısında direkt bağlı karbon bulunmaması, hızlı buharlaşma, yüksek setan sayısı ve düşük tutuşma sıcaklığı gibi özellikleri sayesinde sıfıra yakın PM emisyonu elde edilmesini sağladığı belirlenmiştir. Saf DME’nin dizel yakıtına kıyasla PM emisyonunu %13–228 ve biyodizel yakıtına kıyasla %88.6–227.6 azalttığı tespit edilmiştir. Ayrıca, farklı oranlarda DME içeren dizel–DME karışımlarının dizel yakıtına kıyasla PM emisyonunu %4.7–509 azalttığı ve farklı oranlarda DME içeren biyodizel–DME karışımlarının PM emisyonunu biyodizel yakıtına kıyasla %38.2 azalttığı tespit edilmiştir. Diğer taraftan, LPG–DME karışımının dizel yakıtına kıyasla PM emisyonunu %269–493 azalttığı ve farklı oranlarda DME içeren DME–NH3 karışımlarının saf DME’ye kıyasla PM emisyonunu %40.7–96.7 artırdığı tespit edilmiştir. Öte yandan, egzoz gazı resirkülasyonu (EGR) oranının %10–50 aralığında değiştirilmesinin PM emisyonunu %13.1–48.4 artırdığı tespit edilmiştir.
Prediction of The Factors Affecting Watermelon (Citrullus lanatus (Thunb.) Matsum. & Nakai) Yield Using Data Mining
Authors: KARADAŞ Köksal , KADİRHANOĞULLARI İbrahim Hakkı , KONU KADİRHANOĞULLARI Meryem
Published: May 2023

The aim of this study was to evaluate the factors of affecting watermelon yield in Diyarbakır province. The data was obtained from surveying of 80 watermelon farmers in Diyarbakır province, Turkey by Simple Random Sampling Method using the Chi-square automatic interaction detector (EXHAUSTIVE CHAID) algorithm of the Data Mining Regression Tree methods. In the model created, the dependent variable was WY (watermelon yield), and the independent variables were determined as R (region), AF (age of farmer), EL (education level), CA (cultivation are), FD (fertilization date), FA (amount of fertilization), DS (date of spraying), AS (amount of spraying), NI (number of irrigation), IT (irrigation time), AN (anchor number), HT (harvest time). As a result of the study, the factors that significantly affect the yield of watermelon; AN, NI, HT, CA, R has been determined. An average of 4488.9 kg watermelon yield per decare was obtained and the number of hoes was the variable that most affected the watermelon yield. As a result in order to get a higher yield per unit area, watermelon producers should anchor number more than 4 times, irrigate 5 to 6 times at less than 2 hours, and apply fertilizer in May. In addition, Çermik, Eğil, Yenişehir and Bismil were determined as more suitable regions for watermelon production.
1.5 GHz – 3.1 GHz Arası Bantlarda Verimli Çalışan Geniş Bant RF Enerji Hasatlama Devresinin Toplu Elemanlarla Tasarımı
Authors: ZUHUR Sadik , BOYBAY Muhammed Said
Published: May 2023

Kablosuz iletişim teknolojilerinin kullanımı ile birlikte ortamda farklı frekanslarda elektromanyetik dalgaların varlığı gittikçe artmaktadır. Bu çalışmada ortamda bulunan GSM 1800 (MTX), GSM 1800 (BTX), 3G (MTX), 3G (BTX), ISM 1400, Wi-Fi 1450, LTE 2600 bantlarını hasatlayabilen ve düşük giriş güçlerinde çalışan geniş bant doğrultucu devre toplu elemanlar kullanılarak ADS programında tasarlanmıştır. Tasarlanan devre 1.5 GHz – 3.1 GHz aralığında eşik değer sayılabilecek -10 dB altında yansıma kaybı sağlamıştır. 1.5 GHz – 2.7 GHz aralığının tamamındaki frekanslarda 0 dBm giriş gücünde ve 1 kΩ yükte çıkış gerilimi 0.70±0.02 V olarak elde edilirken doğrultma verimi %50±2 olarak hesaplanmıştır. En yüksek verim ise 5 dBm giriş gücünde ve 2 kΩ yükte çıkış gerilimi 2.02 V iken %68.2 olarak elde edilmiştir.
Re-evaluation of the effects of precipitation amount and temperature on precipitation δ18O at the monthly and interannual timescales
Authors: Li Yunxia , Guang Kaiyue , Tian Lijun , Tian Yiping , Li Jiayan , Yang Chenxi , Rao Zhiguo
Published: May 2023

Proxy records of the oxygen isotope ratio of 18O/16O of past precipitation (δ18Op) have played an important role in revealing past hydroclimatic changes, on the basis of global observed relationships between monthly precipitation δ18Op and both precipitation amount and temperature only of a few years as reported by Dansgaard in 1964. It is therefore crucial to systematically re-evaluate the relationships using modern instrumental data. We analysed monthly and annual mean correlations from 108 global stations over the past about 60 years. Consistent with previously reported results, monthly δ18Op values in the high latitudes (≥60°) show a significant positive correlation with temperature (referred to as ‘temperature effect’) and a negative trend with precipitation amount in the low latitudes (≤20°) (‘amount effect’). However, these correlations do not hold true for yearly mean data for more than three-quarters of the stations evaluated. This indicates that the relationships between the different temporal resolutions could be more complicated than previously thought. For the related natural archives, such as ice cores, sediments, and carbonates, further careful evaluation is required to establish the robustness of their paleoclimatic implications.
Microbial community composition in urban riverbank sediments: response to municipal effluents over spatial gradient
Authors: Guan Yidong , Li Zhang , Huang Lidong , Luo Yin , Fu Jie
Published: May 2023

Municipal effluents have adverse impacts on the aquatic ecosystem and especially the microbial community. This study described the compositions of sediment bacterial communities in the urban riverbank over the spatial gradient. Sediments were collected from seven sampling sites of the Macha River. The physicochemical parameters of sediment samples were determined. The bacterial communities in sediments were analyzed by 16S rRNA gene sequencing. The results showed that these sites were affected by different types of effluents, leading to regional variations in the bacterial community. The higher microbial richness and biodiversity at SM2 and SD1 sites were correlated with the levels of NH4+-N, organic matter, effective sulphur, electrical conductivity, and total dissolved solids (p < 0.01). Organic matter, total nitrogen, NH4+-N, NO3-N, pH, and effective sulphur were identified to be important drivers for bacterial community distribution. At the phylum level, Proteobacteria (32.8–71.7%) was predominant in sediments, and at the genus level, Serratia appeared at all sampling sites and accounted for the dominant genus. Sulphate-reducing bacteria, nitrifiers, and denitrifiers were detected and closely related to contaminants. This study expanded our understanding of municipal effluents on microbial communities in riverbank sediments, and also provided valuable information for further exploration of microbial community functions.
HTNpedia: A Knowledge Base for Hypertension Research
Authors: Loganathan Lakshmanan , Jeyaraman Jeyakanthan , Muthusamy Karthikeyan
Published: May 2023

Background:

Hypertension is notably a serious public health concern due to its high
prevalence and strong association with cardiovascular disease and renal failure. It is reported to be
the fourth leading disease that leads to death worldwide.

Objective:

Currently, there is no active operational knowledge base or database for hypertension
or cardiovascular illness.

Methods:

The primary data source was retrieved from the research outputs obtained from our laboratory
team working on hypertension research. We have presented a preliminary dataset and external
links to the public repository for detailed analysis to readers.

Results:

As a result, HTNpedia was created to provide information regarding hypertension-related
proteins and genes.

Conclusion:

The complete webpage is accessible via www.mkarthikeyan.bioinfoau.org/HTNpedia.
Oral Insulin Delivery: A Review on Recent Advancements and Novel
Strategies
Authors: Barfar Ashkan , Alizadeh Helia , Masoomzadeh Salar , Javadzadeh Yousef
Published: May 2023

Background:

Due to the lifestyle of people in the community in recent years, the prevalence
of diabetes mellitus has increased, so New drugs and related treatments are also being developed.

Introduction:

One of the essential treatments for diabetes today is injectable insulin forms, which have
their problems and limitations, such as invasive and less admission of patients and high cost of production.
According to the mentioned issues, Theoretically, Oral insulin forms can solve many problems of
injectable forms.

Methods:

Many efforts have been made to design and introduce Oral delivery systems of insulin, such
as lipid-based, synthetic polymer-based, and polysaccharide-based nano/microparticle formulations.
The present study reviewed these novel formulations and strategies in the past five years and checked
their properties and results.

Results:

According to peer-reviewed research, insulin-transporting particles may preserve insulin in the
acidic and enzymatic medium and decrease peptide degradation; in fact, they could deliver appropriate
insulin levels to the intestinal environment and then to blood. Some of the studied systems increase the
permeability of insulin to the absorption membrane in cellular models. In most investigations, in vivo
results revealed a lower ability of formulations to reduce BGL than subcutaneous form, despite promising
results in in vitro and stability testing.

Conclusion:

Although taking insulin orally currently seems unfeasible, future systems may be able to
overcome mentioned obstacles, making oral insulin delivery feasible and producing acceptable bioavailability
and treatment effects in comparison to injection forms.
Involvement of miRNA-337 in Various Cancers
Authors: Fakeri Mahsa , Koulaeizadeh Shabnam , Armandzadeh Seyed Masoud , Aboutalebi Vand Beilankouhi Elmira , Valilo Mohammad , Alivand Mohammad Reza
Published: May 2023

microRNAs (miRNA) play a significant role in regulating gene expression at the posttranscriptional
level in multicellular organisms, such as mammals. These small non-coding RNAs
(snRNA) can be present in plants and even viruses, and make up about 60% of human genes. Many
different functions and roles are played by miRNAs, including their role in many diseases and cancers.
The results of various studies in recent years on the role of miRNA-337 in cancers have shown that
miR-337 acts as a cancer inhibitor and can play a key role in the treatment of various cancers by inhibiting
cell invasion. Thus, among the various miRNAs, in this review, we aim to shed light on the function
of miR-337 in different types of cancer.
Physicochemical Characteristics, Microbiology, and Antioxidants of Goat Milk Kefir Supplemented with Clitoria ternatea L. Extract
Authors: Melia Sri , Juliyarsi Indri , Oktania Melly , Putri Deavy Dan Dian
Published: May 2023

Introduction:

Kefir is manufactured by inoculating milk with kefir grains, followed by
a one-day fermentation phase at room temperature. The addition of extracts of Clitoria ternatea L.
to kefir is used as a source of antioxidants which are beneficial for health.

Objective:

This study aimed to determine the effect of adding extracts of C. ternatea L. on physicochemical
characteristics, pH, titratable acidity, total lactic acid bacteria, antioxidant activity,
and total phenol of goat milk kefir.

Methods:

This study used fresh goat milk, kefir granules, and C. ternatea L. extract. The administration
of C. ternatea L .extract on goat milk kefir was A (0%), B (1.5%), C (3.0%), D (4.5%),
and E (6.0%). Physicochemical characteristics (water, protein, fat, pH, titratable acidity), total lactic
acid bacteria, antioxidant activity, and total phenol were observed in this study.

Results:

The statistical analysis results showed that adding C. ternatea L. extract to goat milk
kefir significantly (P˂0.05) decreased water content, pH, increased protein, total titrated acid, and
antioxidant activity, total phenol and not significant (P˃0.05) to total lactic acid bacteria. In this
study, the pH value was 3.65-4.10, the total titrated acid was 0.78-1.23%, and the total lactic acid
bacteria was 7.42-7.87×10⁸CFU/ml.

Conclusion:

The results showed that adding C. ternatea L. extract could increase antioxidant activity
and total phenol while also containing lactic acid bacteria, giving it the potential to be a nutrition
probiotic food. Adding 1.5% C. ternatea L. extract to kefir produced the best results, with a
pH of 3.88, titratable acidity of 0.88%, and total lactic acid bacteria of 7.87 108CFU/ml.
Characteristics of Acute Pelvic Inflammatory Disease in Surgically Treated
Females Over Ten Years - A Single-Center Study
Authors: Ferenc Mateja Vujica , Šerman Alan , Blagaić Vladimir , Milošević Milan , Pavlović Milan , Vlatković Ivanka Bekavac , Vasilj Oliver
Published: May 2023

Background:

Pelvic inflammatory disease (PID) is a public health problem that demands
rapid diagnosis and treatment and may severely impair female reproductive health.

Objective:

To analyze anamnestic information, laboratory findings, and clinical and microbiological
features of patients with severe acute PID that underwent a surgical procedure.

Methods:

This retrospective study enrolled 97 cases that were surgically treated in the Department of
Obstetrics and Gynecology, University Hospital „ Sveti Duh“ between 2009 and 2019.

Results:

Most women were within the age group 35-44 (38.14%). Lower abdominal pain was the most
common symptom (92.78%). Compared to intraoperatively confirmed PID, C-reactive protein (CRP)
yielded the highest sensitivity (88.10%) while cervical motion tenderness possessed the highest specificity
(53.85%). The tubo-ovarian abscess was detected in 35.05% of intraoperative specimens, mainly
occurring in women between 45-54 years (P=0.017) and absent between 15-24 (P=0.012) and 25-34
years (P=0.049). The length of hospital stay was influenced by the number of symptoms (ρ=0.316,
P=0.002), admission CRP levels (ρ=0.620, P<0.001), and admission body temperature (ρ=0.386,
P<0.001). Out of 59.30% of positive cultures, one pathogen was isolated in 70.59%, mainly Escherichia
coli (41.18%). Admission CRP levels impacted the efficacy of microbiologic isolation
(P=0.001). The empirical treatment was mostly based on the clindamycin/gentamicin combination
(51.72%).

Conclusion:

Severe clinical picture that requires surgical treatment can be expected in women >35
years. Longer hospital stay was associated with more symptoms, higher CRP, and temperature values
on admission. It is important to have a low threshold for diagnosis and to consider both aerobic and
anaerobic pathogens when selecting antibiotic treatment.
A Pan-cancer Analysis Reveals the Tissue Specificity and Prognostic Impact
of Angiogenesis-associated Genes in Human Cancers
Authors: Bao Zhenshen , Liao Minzhen , Dong Wanqi , Huo Yanhao , Li Xianbin , Xu Peng , Liu Wenbin
Published: May 2023

Introduction:

Angiogenesis is one of the hallmarks of cancer and can impact the processes of
cancer initiation, progression, and response to therapy.

Background:

Anti-angiogenic therapy is thus an encouraging therapeutic option to treat cancers, but the
detailed angiogenic mechanisms and the association between angiogenesis and clinical outcome remain
unknown in different cancers.

Methods:

Here, we systematically assess the impacts of 82 angiogenesis-associated genes (AAGs) in
tumor tissue specificity and prognosis across 16 cancer types.

Results:

Results demonstrate that the expression patterns of the 82 AAGs can reflect the tumor tissue
specificity, and high expressions of up-regulated AAGs are significantly associated with poor prognosis
of cancer. We further define a prognostic score for predicting overall survival (OS) based on the expressions
of up-regulated AAGs and confirm its reliable predictive ability. Results indicate that a low prognostic
score demonstrates a superior OS and vice versa.

Conclusion:

The results of this study will contribute to the understanding of different tumor angiogenesis
mechanisms in various tissues and cancer-personalized anti-angiogenic treatment. The code of our
analysis can be accessed at https://github.com/ZhenshenBao/AAGs_analysis.git.
A Problem-solving Bionic Design Methodology for Structural Applications
(BREED)
Authors: Fattepur Gururaj , Vaidyanathan Rohith , Guttal Ravi C. , Rädle Matthias
Published: May 2023

Background::

Nature-inspired designs, which have evolved from proven strategies of nature,
have been a constant source of inspiration for designers and engineers to solve real-life problems.

Methods::

Current bionic design methods are theoretical and are discordant with the design engineering
workflow. A proposed methodology suggests suitable bionic forms for a given design space. This procedure
consists of the following stages: bionic representation, relation, emulation, engineering specifications,
design verification, optimisation (BREED), and finally, realisation.

Results::

This methodology aims to function as a systematic problem-solving approach to retrieve
structural inspirations from nature and mimic its form.

Conclusion::

The inspiration and validation phases of the bionic structure are represented as a Vmodel.
The designer can leverage this framework to develop novel bionic design concepts.
A Parametric View of Hubble Parameter for Scalar Field Dark Energy Model
Authors: Goswami Sangita , Das Sudipta
Published: May 2023

Purpose of the study::

In our present work, we have considered a simple parametric form of the Hubble parameter (H) for a canonical scalar field model described within
a spatially flat FRW spacetime framework. Here we have considered a well-behaved parametrization scheme of the normalized Hubble parameter
to explain the expansion history of the universe.

Methods::

Under this scenario, we have obtained the analytic solutions for various relevant cosmological parameters. We have also reconstructed the potential
function V(φ) for the scalar field φ.

Results::

It has been found that the deceleration parameter (q) shows exactly the nature which is well expected, i.e., an accelerated expansion for low z limit
and deceleration for high z limit, which is essential for the structure formation of the Universe. Detailed data analysis has been carried out to check
the viability of the proposed theoretical model by using combined dataset SNIa+H(z)+BAO/CMB and put constraints on the cosmological
parameters, viz. the present value of the Hubble parameter H0.

Conclusion::

As it has been observed that the deceleration parameter undergoes a smooth transition from an accelerating phase to decelerating expansion, this
result supports the structure formation at the early time and the late time cosmic acceleration measurements. The results are found to be closer to
the value obtained by the PLANCK collaboration.
Rock slope stability analysis in Melasti Beach area – Ungasan, Bali
Authors: Arya I Wayan , Wiraga I Wayan , Negara I G A G Surya , Ramia I Nyoman , Premana I Made Wahyu
Published: May 2023

Melasti Beach is one of the main tourist attractions developed by the Bali Government. This beach is located in the southern area of Bali, precisely in Ungasan village, Badung Regency, Bali. At the moment, the region administrator is constructing a tourism facility by excavating a rock mass near the beach. Therefore, to avoid damage to nearby shops and beach facilities, a study is needed to be conducted about the safety of the rock mass that is being excavated. Direct observation of the rock mass and rock mass classification is conducted to obtain the physic and mechanical characteristics of the rock. To do the stability analysis of the slope, Geo-Studio 2012 software is used by inputting the data obtained from the field and laboratory data. The result of this study is a mass rock in Melasti Beach is classified as limestone which has a Fair rock classification and the factor of the safety of the rock slope/cliff is 1.631 which means the cliff is safe and is no need to build an extra reinforcement on the slope/cliff.
Boosting the Intention to Purchase Online: An analysis of e-service quality among customers
Authors: Abd Rashid Muhammad Hafiz , Suhaimi Nurhazirah , Humaidi Norshima , Gita Gayatri
Published: May 2023

This study intends to investigate the impact of e-service quality on Malaysian customers' propensity to make online purchase. Data collection was performed by distributing questionnaires to online shoppers in Klang Valley, Malaysia by employing purposive sampling technique. A total of 212 questionnaires were usable for data analysis by using PLS-SEM method. According to the findings, the likelihood to purchase online was positively impacted by all the e-service quality dimensions namely trust, shopping enjoyment, website design, and privacy. This study also discusses the practical implications and put forward several recommendations to be considered by future researchers.
Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study (Preprint)
Authors: Concheiro-Moscoso Patricia , Groba Betania , Alvarez-Estevez Diego , Miranda-Duro María del Carmen , Pousada Thais , Nieto-Riveiro Laura , Mejuto-Muiño Francisco Javier , Pereira Javier
Published: May 2023

BACKGROUND

Polysomnography is the gold standard for measuring and detecting sleep patterns. In recent years, activity wristbands have become popular because they record continuous data in real time. Hence, comprehensive validation studies are needed to analyze the performance and reliability of these devices in the recording of sleep parameters.

OBJECTIVE

This study compared the performance of one of the best-selling activity wristbands, the Xiaomi Mi Band 5, against polysomnography in measuring sleep stages.

METHODS

This study was carried out at a hospital in A Coruña, Spain. People who were participating in a polysomnography study at a sleep unit were recruited to wear a Xiaomi Mi Band 5 simultaneously for 1 night. The total sample consisted of 45 adults, 25 (56%) with sleep disorders (SDis) and 20 (44%) without SDis.

RESULTS

Overall, the Xiaomi Mi Band 5 displayed 78% accuracy, 89% sensitivity, 35% specificity, and a Cohen κ value of 0.22. It significantly overestimated polysomnography total sleep time (P=.09), light sleep (N1+N2 stages of non–rapid eye movement [REM] sleep; P=.005), and deep sleep (N3 stage of non-REM sleep; P=.01). In addition, it underestimated polysomnography wake after sleep onset and REM sleep. Moreover, the Xiaomi Mi Band 5 performed better in people without sleep problems than in those with sleep problems, specifically in detecting total sleep time and deep sleep.

CONCLUSIONS

The Xiaomi Mi Band 5 can be potentially used to monitor sleep and to detect changes in sleep patterns, especially for people without sleep problems. However, additional studies are necessary with this activity wristband in people with different types of SDis.

CLINICALTRIAL

ClinicalTrials.gov NCT04568408; https://clinicaltrials.gov/ct2/show/NCT04568408

INTERNATIONAL REGISTERED REPORT

RR2-10.3390/ijerph18031106
One Digital Health Intervention for Monitoring Human and Animal Welfare in Smart Cities: Viewpoint and Use Case (Preprint)
Authors: Benis Arriel , Haghi Mostafa , Deserno Thomas M , Tamburis Oscar
Published: May 2023

UNSTRUCTURED

Smart cities and digital public health are closely related. Managing digital transformation in urbanization and living spaces is challenging. It is critical to prioritize the emotional and physical health and well-being of humans and their animals in the dynamic and ever-changing environment they share. Human-animal bonds are continuous as they live together or share urban spaces and have a mutual impact on each other’s health as well as the surrounding environment. In addition, sensors embedded in the Internet of Things are everywhere in smart cities. They monitor events and provide appropriate responses. In this regard, accident and emergency informatics (A&EI) offers tools to identify and manage overtime hazards and disruptive events. Such manifold focuses fit with One Digital Health (ODH), which aims to transform health ecosystems with digital technology by proposing a comprehensive framework to manage data and support health-oriented policies. We showed and discussed how, by developing the concept of ODH intervention, the ODH framework can support the comprehensive monitoring and analysis of daily life events of humans and animals in technologically integrated environments such as smart homes and smart cities. We developed an ODH intervention use case in which A&EI mechanisms run in the background. The ODH framework structures the related data collection and analysis to enhance the understanding of human, animal, and environment interactions and associated outcomes. The use case looks at the daily journey of Tracy, a healthy woman aged 27 years, and her dog Mego. Using medical Internet of Things, their activities are continuously monitored and analyzed to prevent or manage any kind of health-related abnormality. We reported and commented on an ODH intervention as an example of a real-life ODH implementation. We gave the reader examples of a “how-to” analysis of Tracy and Mego’s daily life activities as part of a timely implementation of the ODH framework. For each activity, relationships to the ODH dimensions were scored, and relevant technical fields were evaluated in light of the Findable, Accessible, Interoperable, and Reusable principles. This “how-to” can be used as a template for further analyses. An ODH intervention is based on Findable, Accessible, Interoperable, and Reusable data and real-time processing for global health monitoring, emergency management, and research. The data should be collected and analyzed continuously in a spatial-temporal domain to detect changes in behavior, trends, and emergencies. The information periodically gathered should serve human, animal, and environmental health interventions by providing professionals and caregivers with inputs and “how-to's” to improve health, welfare, and risk prevention at the individual and population levels. Thus, ODH complementarily combined with A&EI is meant to enhance policies and systems and modernize emergency management.
Assessing Public Interest in Mpox via Google Trends, YouTube, and TikTok (Preprint)
Authors: Comeau Nicholas , Abdelnour Alyssa , Ashack Kurt
Published: May 2023

UNSTRUCTURED

Public response to the recent Mpox outbreak was analyzed using internet search trends and social media posts.
Extractives Content of White Jabon (Neolamarckia cadamba) and Red Jabon (Neolamarckia macrophyllus) Stemwood from Wonogiri, Central Java
Authors: Ihda Fatra Valahatul , Lukmandaru Ganis , Nirsatmanto Arif
Published: May 2023

Jabon is a fast-growing tree species with two types, white and red. The families or the origin of the mother tree are sources of variation that influence the chemical composition, particularly the extractive properties. This research aimed to determine the chemical properties of the wood and bark of 10-year-old white Jabon (families 23, 11, and 6) and 5-year-old red Jabon (families 75, 85, and 2) planted in a progeny test plot in Wonogiri, Central Java. In the wood portion of white Jabon, family 23 had the highest n-hexane (HEC), methanol (MEC), and hot water (HWEC) soluble extractive contents, as well as total extractive content (TEC) and total flavonoid content (TFC), while family 6 had the highest total phenolic content (TPC). Meanwhile, in red Jabon, family 75 had the highest HEC, HWEC, and TFC, family 2 had the highest MEC and TEC, and family 85 had the highest TPC. In the bark portion, family 11 had the highest HEC, MEC, TEC, and TPC, while family 6 had the highest HWEC and TFC for white Jabon. In red Jabon, family 2 had the highest HEC, family 85 had the highest MEC, HWEC, and TEC, while family 75 had the highest TPC and TFC.
The Impact of American Petroleum Institute Certifications in Quality Management Systems: Analysis of API Spec Q1 and Q2 Certified Organizations
Authors: Neves Nathália G.S. , Salles, D.Sc. Denise M. R.
Published: May 2023

The present study aims to provide initial insight into the quality management system. More precisely, it describes whether and to what extent implementation of Quality Management System according to API Spec Q1 and/or Q2 can impact various companies in the oil and gas industry. A sample of international organizations is surveyed to understand how certifications affect organizational culture, passing through elements such as competitiveness, reputation, organizational performance, costs, and others. In addition to the certification itself, a rigorous and challenging process of implementation, review, restructuring is carried out, involving fundamental elements of the organization. During this stage, technical support becomes essential for a productive consolidation of the required requirements, and later, the improvement scenario is indispensable to maintain all the success factors in order to consolidate a quality management system within the organization. Thus, based on the findings, companies in the oil and gas segment may identify and reflect on the certification benefits to improve their approach to quality management systems, given the observations of managers and operational interviewees.
Formulations and Evaluations of Herbal Anti-Acne Gel from Coriander and Garlic
Authors: Patil Ms. Suchita S.
Published: May 2023

Abstract: Acne is an inflammatory condition of the skin’s sebaceous follicles. The goal of the current study was to create and assess a coriander and garlic aqueous extract topical anti-acne gel. The antibacterial activity of corianders and garlic aqueous extract against Propionibacterium acnes and Staphylococcus epidermidis was examined. Agar dilution method was used to calculate concentration. The physical characteristics, Spreadibility, extrudability, ph, viscosity of the topical formulations was designed and tested. There are many pharmacological effects of garlic, including antibacterial, anticancer, and antiinflammatory effects. Fresh pearl garlic or garlic with a single clove was utilised as the raw material in this study to make the garlic extracts. This project’s goal is to get the garlic ready. Extracts made with non-chemical methods. The non-chemical extraction, the garlic extract was made by combining honey and garlic in a 1:1 ratio (w/v). The results showed that formulation F1 had the highest drug content (94%), highest level of stability, and zone of greatest efficacy, inhibition among all formulations.
Current Situation and Challenges in Indian Banking Sector
Authors: Santhosh A
Published: May 2023

Abstract: The Indian banking sector is facing several challenges due to the rapidly changing financial environment. The key issues include the high level of Non-Performing Assets (NPAs), increasing competition from fintech companies and digital payment platforms, difficulty in meeting capital adequacy requirements, concerns about governance and risk management, and challenges in Asset Liability Management (ALM). Addressing these challenges is critical for the Indian banking sector to remain competitive and continue playing a crucial role in the country’s economy. One of the largest in the world and essential to the nation's economy is the Indian banking sector. However, it is currently facing several challenges due to the rapidly changing financial environment. Here are some of the key issues and challenges faced by the Indian banking sector: Non-Performing Assets (NPAs): The high level of NPAs, or bad loans, is one of the main problems Indian banks face. The gross NPA ratio of Indian banks, according to the Reserve Bank of India (RBI), was 7.5% in March 2021. The profitability and capital sufficiency of banks have been under intense strain as a result of this is digital disruption.The traditional banking sector has been impacted by the growth of fintech businesses and digital payment platforms. These new competitors, who can provide customers with speedier, more convenient, and less expensive services, are putting pressure on Indian banks.
A Review on Can AI Replace Humans?
Authors: Diware Shraddha S.
Published: May 2023

Abstract: Artificial Intelligence (AI) is the development frameworks that can perform errands that commonly require human insight. It can possibly alter various enterprises and parts of society, offering benefits, for example, expanded proficiency, cost reserve funds, further developed direction, day in and day out accessibility, and customized encounters. Artificial intelligence finds applications in assorted spaces, including fabricating, medical care, transportation, finance, client assistance, and logical exploration. Be that as it may, AI additionally presents difficulties and moral contemplations, for example, work removal, predisposition in calculations and information, protection and security gambles, and the dependable utilization of man-made intelligence. Human-artificial intelligence coordinated effort is a huge part of computer based intelligence's future, permitting people to zero in on additional imaginative and complex errands that require interactive abilities and the capacity to understand anyone on a profound level.
Experiencias en torno al documental Madres. Formas de representación y etnografía colaborativa (Córdoba, Argentina)
Authors: Bermúdez Natalia , Cordera Josefina
Published: May 2023

En este artículo describimos y reflexionamos sobre modelos de representación en la construcción de un documental etnográfico, y damos cuenta de cómo la etnografía colaborativa permeó parte del proceso. Estas reflexiones, entramadas en situaciones concretas y con personas socialmente situadas, permiten desafiar al conocimiento más normativo sobre las implicancias de la participación y la intervención cuando trabajamos con personas en situaciones límite. Compartimos aspectos que pueden aportar a proyectos similares, en relación con puntos de partida, incorporación de los resultados de investigaciones etnográficas previas y actividades de intervención, así como las presencias de antropólogues y realizadores junto a les interlocutores en escena. Mostraremos que la mediación de la cámara crea una dialéctica reflexiva que complejiza las interacciones de quienes intervienen en una producción audiovisual. Asimismo, analizamos la importancia de confrontar las visualidades comprometidas en proyectos audiovisuales para orientarse hacia una politización de las imágenes.
Innovación pedagógica en Geociencias desde la lectura crítica y la argumentación pragmadialéctica
Authors: Diez María Angélica , Londoño Vásquez David Alberto , Rodríguez Maximiliano Nicolás , Casadío Silvio , Ramírez Mejía Laura Sofía
Published: May 2023

Este artículo es resultado de una investigación acción que releva el proceso desde la capacitación en lectura y escritura académica, destinado a docentes con perfil científico en Geociencias (Universidad Nacional de Río Negro, Argentina), a su transferencia a prácticas educativas. La investigación se centró en indagar el abordaje de los docentes ante la formación, la práctica educativa y la reflexión en relación con la lectura crítica y la argumentación pragmadialéctica puesta en práctica en sus asignaturas. Las categorías fueron: perspectivas en docencia disciplinar e interdisciplinar, formación crítica como objeto de la enseñanza, retroalimentación como medio de regulación de las prácticas pedagógicas y evolución docente a través de las prácticas.  Las técnicas empleadas fueron grupo focal, entrevistas y relatos de prácticas docentes. Como resultados se destacan el cambio positivo en los científicos-docentes ante la enseñanza, su incursión en el diseño didáctico con pautas metodológicas y la práctica reflexiva.
Desde el adultocentrismo hasta el infantocentrismo: estudio exploratorio sobre participación en Educación Ambiental
Authors: Prosser Bravo Gabriel , Aranguren Zurita Samuel , Bonilla Hevia Nicolás , Caro Zúñiga Camilo Andrés
Published: May 2023

El objetivo de esta investigación fue evaluar la participación promovida por profesionales de la Educación Ambiental, usando para ello taxonomías desprendidas de estudios con adultos, niños, niñas y adolescentes. Mediante una encuesta online se involucró a 98 personas que trabajan en este campo en Chile y se realizaron análisis de contenido temático y análisis estadísticos descriptivos. Se asociaron sus respuestas a cuatro posiciones discursivas adultocéntricas y tres infantocéntricas, y se crearon perfiles de cada grupo con base en las otras variables de estudio. Se identificó que las personas con posiciones infantocéntricas tienden a ser más críticas de su práctica, llevan más años de experiencia en el campo y se desempeñan generalmente como activistas o comunicadores ambientales. A partir de lo evidenciado, el presente estudio da luces para la construcción de instrumentos de medición de la participación que sean más sofisticados, y concluye con aspectos que deben ser profundizados o subsanados en próximas evaluaciones.
Does geographical proximity still matter for innovation? Notes on university-industry interaction from the perspective of a peripheral context
Authors: Fernandes Ana Cristina de Almeida , Souza Bruno Campello de , Silva Alexandre Stamford da , Lima João Policarpo Rodrigues
Published: May 2023

Interactions between universities and industry are essential for innovation systems, whereby the process is catalyzed by the proximity between these actors in different dimensions (cognitive, organizational, social, institutional and geographical). The present paper seeks to investigate the specific importance of geographical proximity for university-industry interactions during a specific moment in Brazil’s peripheral socioeconomic formation, with the construction of an institutional framework that proved favorable to peripheral innovation and the advancement of information and communication technologies that would dispense with co-location and face-to-face contact in collective learning processes. By applying multiple linear regression analysis and smallest space analysis (SSA) to a database obtained from an extensive survey, it was observed that, associated with the cognitive dimension, geographical proximity still prevails in interactions for innovation in peripheral contexts.