bluuebunny/crossref_metadata_2025 huggingface dataset:
H2S Removal from Biogas using Steel Wool (Fe2O3) Adsorption Combined with Water Absorption: Experimental and Modelling via RSM
Authors:   Energy Technology Program, Faculty of Engineering, Prince of Songkla University, Hatyai, Songkhla 90110, Thailand, Paoaiang Jiraporn , Pongyeela Prukraya ,   Department of Chemical Engineering, Faculty of Engineering, Prince of Songkla University, Hatyai, Songkhla, 90110, Thailand, Chairerk Nirana ,   Department of Chemical Engineering, Faculty of Engineering, Prince of Songkla University, Hatyai, Songkhla, 90110, Thailand, Chungsiriporn Juntima ,   Department of Chemical Engineering, Faculty of Engineering, Prince of Songkla University, Hatyai, Songkhla, 90110, Thailand
Published: March 2024

Hydrogen sulfi de (H2S) is a hazardous gas commonly found in biogas systems; it causes problems in biogas utilization because H2S is highly corrosive to engines, gas storage tanks, and generators. The purpose of this research was to study the biogas upgrading by removing H2S using SCM440 type steel wool (Fe2O3) adsorption combined with water absorption. The biogas upgrading column was operated at a biogas fl ow rate of 0.5–3 l/min, with 10–50 g of treated Fe2O3 adsorbent packed in the middle of the column, and 60–300 ml of water contained at the bottom of the column. The optimal conditions obtained by the RSM for maximum H2S removal were 1 l/min gas fl ow rate, 40 g Fe2O3 and 240 ml water, can be H2S removal of 50.79 g/m3 biogas. Statistical, ANOVA analysis showed that Fe2O3 was the most signifi cant factor followed by water and gas fl ow rate. RSM models showed acceptable prediction of experimental data with maximum R2 value of 0.9804. The Fe2O3 regeneration conditions were examined at air fl ow rates of 1–4 l/min, regeneration times of 1–4 h, and 1–4 repeated uses for H2S removal. The optimum condition was found at a 2 l/min air fl ow rate for 2 h, resulting in a maximum H2S removal of 97.39%. Hence, the Fe2O3 adsorbent combined with water absorption technique has high potential for environmentally friendly and low-cost removal of H2S from biogas at an industrial level.
Cultivation and Nutrient Compositions of Medicinal Mushroom, Hericium erinaceus in Thailand
Authors:   School of Science, Mae Fah Luang University, Chiang Rai 57100, Thailand, Gonkhom Didsanutda ,   Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai 57100, Thailand, Luangharn Thatsanee ,   Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai 57100, Thailand, Stadler Marc ,   Department of Microbial Drugs, Helmholtz Centre for Infection Research (HZI), and German Centre for Infection Research (DZIF), partner site Hannover/Braunschweig, Inhoffenstrasse 7, 38124 Braunschweig, Germany, Thongklang Naritsada ,   School of Science, Mae Fah Luang University, Chiang Rai 57100, Thailand,   Center of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai 57100, Thailand
Published: March 2024

Hericium erinaceus, commonly known as “Lion’s Mane,” is widely edible, used for medicinal purposes, and has a long history of cultivation in China and Japan since 1990s. In this study, four strains of Hericium erinaceus (MFLUCC 21-0018, MFLCC 21-0019, MFLUCC 21-0020, and MFLUCC 21-0021) were grown for cultivation and proximate analysis. The mushroom was cultivated on three different substrate treatments, designed using a completely randomized design (CRD), harvested as fresh fruiting bodies, dried at 40–45 °C, and the total yield calculated. We pulverized the dried fruiting body for proximate composition and analyzed it according to standard procedures. The result showed that all H. erinaceus strains in three different substrate treatments produced mature fresh fruiting bodies when the temperature was 18–24 °C, while the second substrate treatment under conditions of the sawdust bag content 77% of para rubber sawdust, 15% of red sorghum, 3% of rice bran, 2% of yeast powder, 1% of lime (CaO), 1% of gypsum (CaSO4 • 2H2O), and 1% of molasses produced a high yield of 85.79–123.7 grams/bag. Proximate analysis of the dried mushroom powder showed high levels of protein content between 15.30% and 19.56%. The cultivation of H. erinaceus in Thailand is a significant achievement, as this type of mushroom is generally valued for its nutritional and therapeutic properties.
Res-U2Net: untrained deep learning for phase retrieval and image reconstruction
Authors: Osorio Quero Carlos , Leykam Daniel , Rondon Ojeda Irving
Published: March 2024

Conventional deep learning-based image reconstruction methods require a large amount of training data, which can be hard to obtain in practice. Untrained deep learning methods overcome this limitation by training a network to invert a physical model of the image formation process. Here we present a novel, to our knowledge, untrained Res-U2Net model for phase retrieval. We use the extracted phase information to determine changes in an object’s surface and generate a mesh representation of its 3D structure. We compare the performance of Res-U2Net phase retrieval against UNet and U2Net using images from the GDXRAY dataset.
EFNet: enhancing feature information for 3D object detection in LiDAR point clouds
Authors: Meng Xin , Zhou Yuan , Du Kaiyue , Ma Jun , Meng Jin , Kumar Aakash , Lv Jiahang , Kim Jonghyuk , Wang Shifeng
Published: March 2024

With the development of autonomous driving, there has been considerable attention on 3D object detection using LiDAR. Pillar-based LiDAR point cloud detection algorithms are extensively employed in the industry due to their simple structure and high real-time performance. Nevertheless, the pillar-based detection network suffers from significant loss of 3D coordinate information during the feature degradation and extraction process. In the paper, we introduce a novel framework with high performance, termed EFNet. The EFNet uses the Enhancing Pillar Feature Module (EPFM) to provide more accurate representations of features from two directions: pillar internal space and pillar external space. Additionally, the Head Up Module (HUM) is utilized in the detection head to integrate multi-scale information and enhance the network’s information perception ability. The EFNet achieves impressive results on the nuScenes datasets, namely, 53.3% NDS and 42.4% mAP. Compared to the baseline PointPillars, EFNet improves 8% NDS and 11.9% mAP. The results demonstrate that the proposed framework can effectively improve the network’s accuracy while ensuring deployability.
Photonic delay reservoir computer based on ring resonator for reconfigurable microwave waveform generator
Authors: Qu Qi , Ning Tigang , Li Jing , Pei Li , Bai Bing , Zheng Jingjing , Wang Jianshuai , Dong Fei , Feng Yuxiang
Published: March 2024

To achieve an autonomously controlled reconfigurable microwave waveform generator, this study proposes and demonstrates a self-adjusting synthesis method based on a photonic delay reservoir computer with ring resonator. The proposed design exploits the ring resonator to configure the reservoir, facilitating a nonlinear transformation and providing delay space. A theoretical analysis is conducted to explain how this configuration addresses the challenges of microwave waveform generation. Considering the generalization performance of waveform generation, the simulations demonstrate the system's capability to produce six distinct representative waveforms, all exhibiting a highly impressive root mean square error (RMSE) of less than 1%. To further optimize the system’s flexibility and accuracy, we explore the application of various artificial intelligence algorithms at the reservoir computer's output layer. Furthermore, our investigation delves deeply into the complexities of system performance, specifically exploring the influence of reservoir neurons and micro-ring resonator parameters on calculation performance. We also delve into the scalability of reservoirs, considering both parallel and cascaded arrangements.
Numerical optimization of auxiliary biaxial receiver to detect blind zone of pulsed coherent wind lidar
Authors: Zhao Mingguang , Yu Zhibin , Wang Huaijin , Li Mengpei
Published: March 2024

The conventional pulsed monostatic coaxial coherent Doppler wind lidar (CDWL) has a blind detection zone of tens of meters, causing the loss of near-field wind field data. While maintaining the long-range detection capabilities of pulsed lidar, we introduce a novel auxiliary biaxial receiver (ABR) aimed at acquiring dependable coherent signals within blind zones. This is achieved by incorporating a receiver in close proximity to the monostatic coaxial transceiver (MCT), thereby mitigating end-face reflections and laser pulse tailing effects. A specific model of multiple aperture coherent wind detection is established for the ABR system without blind zone problem (BZP). The numerical simulations demonstrate that the biaxial receiver with reasonable design can meet the detection needs of the entire range of the blind zone. By using an ABR with a smaller focal length under appropriate transceiver pointing and general pointing accuracy, the BZP can be solved. The study also exhaustively obtained all parameter combinations that can solve the near-field BZP for a specific system. The results provide a new idea and engineering design guidance for the optical system design of pulsed CDWL without BZP.
Optical snake states in a photonic graphene
Authors: Bahrova O. M. , Koniakhin S. V. , Nalitov A. V. , Cherotchenko E. D.
Published: March 2024

We propose an optical analog of electron snake states based on an artificial gauge magnetic field in a photonic graphene implemented by varying distances between cavity pillars. We develop an intuitive and exhaustive continuous model based on tight-binding approximation and compare it with numerical simulations of a realistic photonic structure. The allowed lateral propagation direction is shown to be strongly coupled to the valley degree of freedom, and the proposed photonic structure may be used as a valley filter.
Mobile recognition and positioning for multiple visible light communication cells using a convolutional neural network: publisher’s note
Authors: Du Xiaoxiao , Zhang Yanyu , Wang Chao , Fan Penghui , Zhu Yijun
Published: March 2024

This publisher’s note contains a correction to Opt. Lett. 48, 6468 (2024)10.1364/OL.503007.
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Authors: Malik Hassaan , Anees Tayyaba
Published: March 2024

Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19, lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest disorders medical professionals may be thrown off by the overlapping symptoms (such as fever, cough, sore throat, etc.). Additionally, researchers and medical professionals make use of chest X-rays (CXR), cough sounds, and computed tomography (CT) scans to diagnose chest disorders. The present study aims to classify the nine different conditions of chest disorders, including COVID-19, LC, COL, atelectasis (ATE), tuberculosis (TB), pneumothorax (PNEUTH), edema (EDE), pneumonia (PNEU). Thus, we suggested four novel convolutional neural network (CNN) models that train distinct image-level representations for nine different chest disease classifications by extracting features from images. Furthermore, the proposed CNN employed several new approaches such as a max-pooling layer, batch normalization layers (BANL), dropout, rank-based average pooling (RBAP), and multiple-way data generation (MWDG). The scalogram method is utilized to transform the sounds of coughing into a visual representation. Before beginning to train the model that has been developed, the SMOTE approach is used to calibrate the CXR and CT scans as well as the cough sound images (CSI) of nine different chest disorders. The CXR, CT scan, and CSI used for training and evaluating the proposed model come from 24 publicly available benchmark chest illness datasets. The classification performance of the proposed model is compared with that of seven baseline models, namely Vgg-19, ResNet-101, ResNet-50, DenseNet-121, EfficientNetB0, DenseNet-201, and Inception-V3, in addition to state-of-the-art (SOTA) classifiers. The effectiveness of the proposed model is further demonstrated by the results of the ablation experiments. The proposed model was successful in achieving an accuracy of 99.01%, making it superior to both the baseline models and the SOTA classifiers. As a result, the proposed approach is capable of offering significant support to radiologists and other medical professionals.
From theory to practice: An integrated TTF-UTAUT study on electric vehicle adoption behavior
Authors: Alwadain Ayed , Fati Suliman Mohamed , Ali Kashif , Ali Rao Faizan
Published: March 2024

In Industry 4.0, the adoption of new technology has played a major role in the transportation sector, especially in the electric vehicles (EVs) domain. Nevertheless, consumer attitudes towards EVs have been difficult to gauge but researchers have tried to solve this puzzle. The prior literature indicates that individual attitudes and technology factors are vital to understanding users’ adoption of EVs. Thus, the main aim is to meticulously investigate the unexplored realm of EV adoption within nations traditionally reliant on oil, exemplified by Saudia Arabia. By integrating the “task technology fit” (TTF) model and the “unified theory of acceptance and usage of technology” (UTAUT), this research develops and empirically validates the framework. A cross-section survey approach is adopted to collect 273 valid questionnaires from customers through convincing sampling. The empirical findings confirm that the integration of TTF and UTAUT positively promotes users’ adoption of EVs. Surprisingly, the direct effect of TTF on behavioral intentions is insignificant, but UTAUT constructs play a significant role in establishing a significant relationship. Moreover, the UTAUT social influence factor has no impact on the EVs adoption. This groundbreaking research offers a comprehensive and holistic methodology for unravelling the complexities of EV adoption, achieved through the harmonious integration of two well-regarded theoretical frameworks. The nascent of this research lies in the skilful blending of technological and behavioral factors in the transportation sector.
The relationship between caregiver contribution to self-care and patient quality of life in heart failure: A longitudinal mediation analysis
Authors: Caggianelli Gabriele , Alivernini Fabio , Chirico Andrea , Iovino Paolo , Lucidi Fabio , Uchmanowicz Izabella , Rasero Laura , Alvaro Rosaria , Vellone Ercole
Published: March 2024

Background

Patients with heart failure may experience poor quality of life due to a variety of physical and psychological symptoms. Quality of life can improve if patients adhere to consistent self-care behaviors. Patient outcomes (i.e., quality of life) are thought to improve as a result of caregiver contribution to self-care. However, uncertainty exists on whether these outcomes improve as a direct result of caregiver contribution to self-care or whether this improvement occurs indirectly through the improvement of patient heart failure self-care behaviors.

Aims

To investigate the influence of caregiver contribution to self-care on quality of life of heart failure people and explore whether patient self-care behaviors mediate such a relationship.

Methods

This is a secondary analysis of the MOTIVATE-HF randomized controlled trial (Clinicaltrials.gov registration number: NCT02894502). Data were collected at baseline and 3 months. An autoregressive longitudinal path analysis model was conducted to test our hypotheses.

Results

We enrolled a sample of 510 caregivers [mean age = 54 (±15.44), 24% males)] and 510 patients [mean age = 72.4 (±12.28), 58% males)]. Patient self-care had a significant and direct effect on quality of life at three months (β = 0.20, p < .01). Caregiver contribution to self-care showed a significant direct effect on patient self-care (β = 0.32, p < .01), and an indirect effect on patient quality of life through the mediation of patient self-care (β = 0.07, p < .001).

Conclusion

Patient quality of life is influenced by self-care both directly and indirectly, through the mediation of caregiver contribution to self-care. These findings improve our understanding on how caregiver contribution to self-care improves patient outcomes.
Physiological Responses, Performance, Behaviour, and Welfare of Garut Sheep Cared using Semi-Intensive System in Indonesia
Authors: Maulana Yasin Pradana , Ramdani D , Indrijani H , Yunasaf U , Mayasari N
Published: March 2024

Sheep farming in Indonesia still relies on the intensive system which is very labor-intensive, movement restrictions, and reduced quantity of sheep can be kept, developed countries, on the other hand, have evolved a semi-intensive system that may minimize the number of staff while still providing welfare to the sheep. This study aimed to compare the performance, physiological responses, behavior, and welfare of reared Garut sheep in semi-intensive management with outdoor pen and full indoor pen treatments, employing a T-test experimental design using ten replicates (n=10). This experiment used 20 ewes sheep (one-year-old) with an average body weight of 18.74Â±2.53 kg. This experiment found no difference in dry matter intake (gram/head/day) or average daily gain (gram/head/day) between both treatments (P0.05). When compared to ewes with full indoor pen, ewes with access to outdoor pen had better physiological status especially heart rate and respiratory rate, particularly in the morning and afternoon (P0.05). The ratio of blood N/L for ewes with an outdoor pen showed better results (P0.05), and the rearing environment also did not show any difference nor induce stress on livestock with access to outdoor pen (P0.05). Ewes' welfare increases and they become more active after being provided access to outdoor pen. In conclusion, a semi-intensive system with an outside enclosure enhances Garut ewes' performance while also improving their physiological health and welfare index fulfillment. This approach has to be promoted throughout Indonesia for better farming management.
Influence of Moringa Leaf Meal As a Feed Additive on Antibody and Bursa Histomorphometry of Hybrid Ducklings
Authors: Febriana Wisca , Suprihatin Teguh , Kasiyati Kasiyati
Published: March 2024

Moringa leaf meal contains various phytonutrients that benefit animal and human health.Â  This research is designed to evaluate Moringa leaf meal as a feed additive on antibody response and histomorphometry of the bursa Fabricius of hybrid duck administrated by ND vaccine.Â  The experimental design used is a Completely Randomized Design (CRD) using thirty-two male hybrid ducks of three days old.Â  They were divided into four treatment groups and eight replicates of each.Â  The first group was standard commercial fed without adding ofÂ  Moringa leaf meal (0%), while the second until the fourth group was a standard commercial fed with 2.5%, 5%, and 7.5% adding of Moringa leaf meal.Â  All groups were vaccinated by ND1 and ND2, respectively, at the age of seventh and fourteenth days.Â  The results showed that Moringa leaf meal as a feed additive had no significant effect on antibody titer, leukocyte count, lymphocytes (L), heterophils (H), H:L ratio, bursa weight, cortex, and medulla thickness of bursa.Â  The concentration of serum MDA, the diameter of plica, and follicles bursa were significantly influenced (P0.05) by adding Moringa leaf meal.Â  In conclusion, the Moringa leaf meal additive could stimulate the proliferation of bursa follicles and have no adverse effect on the immune response of hybrid ducks post-ND vaccine.
Letramento estatístico e competência crítica em um ambiente de aprendizagem criativa
Authors: Perin Andréa Pavan , Pita Ana Paula Gonçalves
Published: March 2024

Este artigo objetiva analisar o desenvolvimento do letramento estatístico no que se refere a leitura, interpretação e análise crítica de gráficos estatísticos de um grupo de alunos do 1º ano do Ensino Médio. Buscamos um espaço que julgamos ideal para esse desenvolvimento e encontramos nos preceitos da aprendizagem criativa amparo para essa abordagem pedagógica. Para interpretação do material, apoiamo-nos na Análise Narrativa. A análise dos dados mostrou que os grupos de estudantes transitaram pelos três níveis mais elevados de letramento estatístico, segundo a classificação que empregamos neste estudo. Afirmamos que a leitura residiu nos níveis mais elevados, pois os estudantes buscaram fazer leitura entre os dados, ou seja, compararam resultados, estabeleceram relações matemáticas e formularam questionamentos para além dos dados existentes. Ademais, os estudantes também se mostraram preocupados com os aspectos da sociedade retratados nas representações gráficas, mostrando desigualdades sociais ali apresentadas, ou seja, construíram críticas sociopolíticas.
MİMARİ TASARIMIN ERKEN TASARIM EVRESİNDE ESKİZİN YARATICI DÜŞÜNMEYE ETKİSİ
Authors: TAPKI Sinem
Published: March 2024

Mimari tasarım sürecinin erken tasarım evresinde tasarımcılar, fikirlerini somut olarak aktarabilmek için görsel ifade tekniklerinden eskizi kullanmaktadırlar. Tasarım dünyasında eskizlerin, tasarım bilgisinin oluşmasında ve tasarım düşüncesinin geliştirilmesinde bir aktarım aracından daha fazla rolü bulunmaktadır. Eskizler sahip oldukları özgür, yaratıcı ve esnek yapılarından dolayı görsel düşünmeye veriler sağlamaktadır. Görsel düşünme, bilgi ve zihindeki düşüncenin eskiz, diyagram, şema vb. yöntemlerle görselleştirmenin öğrenilmesidir. Tasarım- tasarımcı- eskiz arasında sürekli döngüsel ve sınırları belirsiz bir ilişki bulunmaktadır.

Mimari tasarım sürecinde yaratıcılık, hayal gücü, görsel düşünme ve eskizin önemli yeri olduğu bilinmektedir. Bu tasarım sürecinin sonunda, yaratıcı ve özgün ürünlerin ortaya çıkmasında görsel düşünme ile eskiz baskın rol oynamaktadır. Eskiz; tasarımcının düşünme, düşünceyi aktarma ve bilgi türetme eylemlerini zihinde kurguladığından öteye taşır. Eskiz çalışmaları, beyindeki soyut düşünceyi somutlaştırarak düşünceyi geliştirecek yaratıcı katkılar sağlamaktadır. Zihindeki düşüncelerin somutlaşması ile yeni bilgiler oluşur ve bu yeni bilgiler tekrar zihinde yorumlanarak somutlaştırılır. Böylece yeni bilgiler gelişir ve başka bilgilerin oluşmasını sağlar. Çalışma; bu sistematik süreç içerisinde eskizi, eskizin rolünü, işleyişini araştırmaktadır.

Mimari tasarım sürecinde, hayal gücü, yaratıcı düşünce ve yaratıcı düşünceyi geliştirmenin eskiz ile arasındaki ilişkinin araştırıldığı bu çalışmanın amacı; tasarım sürecinin erken tasarım evresinde eskiz sürecinin analiz edilmesidir. Tasarım sürecinde problem tanımlanıp çözülürken, proje geliştirilirken yararlanılan araçlardan biri olan eskiz çalışmaları, tasarımcıların bilişsel davranışlarını da etkileyebileceği hipotezi çalışmada öne sürülmüştür. Erken tasarım evresinde eskiz uygulamalarının süreci nasıl etkilediği, tasarımcıların bilişsel durumlarındaki etkilerin neler olduğu sorularına cevaplar aranmaktadır. Bu amaçla araştırmada bir deney gerçekleştirilmiştir. Yüz yüze ortamda iki aşamalı uygulama oluşturulmuştur. Süreçte üç adet Mimarlık Bölümü 2. Sınıf öğrencisi ile çalışılmıştır. Katılımcılardan, sınırlı süre içerisinde verilen tasarım problemine ait geleneksel ortamda eskiz yapmaları istenmiştir. Eskizlerin analizinde protokol analiz yöntemi kullanılmıştır. Eskizler içerik, biçim, sorgulama-çözümleme ilişkilerine göre değerlendirilmiştir. Yapılan analizler ve değerlendirmeler sonucunda eskizlerin tasarımcıların bilişsel durumlarını nasıl etkilediği incelenmiştir.
Vohalni trening kot učinkovita podpora pri rehabilitaciji voha pacientov z vohalno disfunkcijo
Authors: Drenovec Tadeja
Published: March 2024

Uvod: Motnje voha so pogoste pri okužbah dihal in vplivajo na kakovost življenja, saj imajo nekateri pacienti lahko moten voh vse življenje. Kot pomoč pri rehabilitaciji voha obstaja vohalni trening, ki je nefarmakološka, nekirurška in stroškovno učinkovita metoda zdravljenja pacientov z motnjami voha zaradi različnih indikacij. Namen raziskave je raziskati, kakšni so učinki vohalnega treninga pri  pacientih z vohalno disfunkcijo.Metode: Uporabljen je bil pregled strokovne in znanstvene literature. Iskanje literature je potekalo po podatkovnih  bazah Web of Science, CINAHL in Pubmed. Vključena je bila literatura med letoma 2019 in 2022. Pri iskanju so bile uporabljene kombinacije ključnih besed: voh, motnje voha, anozmija. Potek iskanja in izbor raziskav smo prikazali s pomočjo diagrama PRISMA. Tematska analiza je potekala na način kodiranja rezultatov.Rezultati: Iz celotnega niza smo pridobili 253 zadetkov, med katerimi smo v končno analizo uvrstili šest kvantitativnih raziskav, ki so opisovale uporabo ter učinke vohalnega treninga za zdravljenje vohalne disfunkcije. Rezultati iskanja literature so bili kritično ovrednoteni z orodji JBI (JBI, 2020). Glavni izpostavljeni vsebinski področji sta bili: izidi vohalnega treninga in lastnosti vohalnega  treninga.Diskusija in zaključek: Vohalni trening pomembno vpliva na vračanje in izboljšanje vonjanja. Gre za učinkovito  podporo pri rehabilitaciji voha. Za prihodnje raziskovanje področja se predlaga raziskava predvsem na področjih razločevanja in zaznavanja voha po uporabi vohalnega treninga.
k-convex solutions for multiparameter Dirichlet systems with k-Hessian operator and Lane-Emden type nonlinearities
Authors: He Xingyue , Gao Chenghua , Wang Jingjing
Published: March 2024

In this article, our main aim is to investigate the existence of radial

k

k

-convex solutions for the following Dirichlet system with

k

k

-Hessian operators:

S

k

(

D

2

u

)

=

λ

1

ν

1

(

∣
x
∣

)

(

−
u

)

p

1

(

−
v

)

q

1

in

ℬ

(

R

)

,

S

k

(

D

2

v

)

=

λ

2

ν

2

(

∣
x
∣

)

(

−
u

)

p

2

(

−
v

)

q

2

in

ℬ

(

R

)

,

u
=
v
=
0

on

∂
ℬ

(

R

)

.

\left\{\begin{array}{ll}{S}_{k}\left({D}^{2}u)={\lambda }_{1}{\nu }_{1}\left(| x| ){\left(-u)}^{{p}_{1}}{\left(-v)}^{{q}_{1}}& {\rm{in}}\hspace{1em}{\mathcal{ {\mathcal B} }}\left(R),\\ {S}_{k}\left({D}^{2}v)={\lambda }_{2}{\nu }_{2}\left(| x| ){\left(-u)}^{{p}_{2}}{\left(-v)}^{{q}_{2}}& {\rm{in}}\hspace{1em}{\mathcal{ {\mathcal B} }}\left(R),\\ u=v=0& {\rm{on}}\hspace{1em}\partial {\mathcal{ {\mathcal B} }}\left(R).\end{array}\right.

Here,

u

p

1

v

q

1

{u}^{{p}_{1}}{v}^{{q}_{1}}

is called a Lane-Emden type nonlinearity. The weight functions

ν

1

,

ν

2

∈
C

(

[

0
,
R

]

,

[

0
,
∞

)

)

{\nu }_{1},{\nu }_{2}\in C\left(\left[0,R],\left[0,\infty ))

with

ν

1

(

r

)

>
0
<

ν

2

(

r

)

{\nu }_{1}\left(r)\gt 0\lt {\nu }_{2}\left(r)

for all

r
∈

(

0
,
R

]

r\in \left(0,R]

,

p

1

,

q

2

{p}_{1},{q}_{2}

are nonnegative and

q

1

,

p

2

{q}_{1},{p}_{2}

are positive exponents,

ℬ

(

R

)

=

{

x
∈

R

N

:
∣
x
∣
<
R

}

{\mathcal{ {\mathcal B} }}\left(R)=\left\{x\in {{\mathbb{R}}}^{N}:| x| \lt R\right\}

,

N
≥
2

N\ge 2

is an integer,

N

2

≤
k
≤
N

\frac{N}{2}\le k\le N

. In order to achieve our main goal, we first study the existence of radial

k

k

-convex solutions of the above-mentioned systems with general nonlinear terms by using the upper and lower solution method and Leray-Schauder degree. Based on this, by constructing a continuous curve, which divides the first quadrant into two disjoint sets, we obtain the existence and multiplicity of radial

k

k

-convex solutions for the system depending on the parameters

λ

1

{\lambda }_{1}

,

λ

2

{\lambda }_{2}

and the continuous curve.
Unlocking the potential of oncology biomarkers: advancements in clinical theranostics
Authors: Dubey Ankit Kumar , Kaur Ishnoor , Madaan Reecha , Raheja Shikha , Bala Rajni , Garg Manoj , Kumar Suresh , Lather Viney , Mittal Vineet , Pandita Deepti , Gundamaraju Rohit , Singla Rajeev K. , Sharma Rohit
Published: March 2024

Introduction

Cancer biomarkers have revolutionized the field of oncology by providing valuable insights into tumor changes and aiding in screening, diagnosis, prognosis, treatment prediction, and risk assessment. The emergence of “omic” technologies has enabled biomarkers to become reliable and accurate predictors of outcomes during cancer treatment.

Content

In this review, we highlight the clinical utility of biomarkers in cancer identification and motivate researchers to establish a personalized/precision approach in oncology. By extending a multidisciplinary technology-based approach, biomarkers offer an alternative to traditional techniques, fulfilling the goal of cancer therapeutics to find a needle in a haystack.

Summary and Outlook

We target different forms of cancer to establish a dynamic role of biomarkers in understanding the spectrum of malignancies and their biochemical and molecular characterization, emphasizing their prospective contribution to cancer screening. Biomarkers offer a promising avenue for the early detection of human cancers and the exploration of novel technologies to predict disease severity, facilitating maximum survival and minimum mortality rates. This review provides a comprehensive overview of the potential of biomarkers in oncology and highlights their prospects in advancing cancer diagnosis and treatment.
A calibration method for vector network analyzers using a line and three or more offset-reflect standards
Authors: Liu Yujie , Wan Guobin , Wu Changying , Yashchyshyn Yevhen , Wang Yingfan , Tu Limin
Published: March 2024

This article proposes a method for two-port vector network analyzer (VNA) calibration that uses a line standard and three or more offset-reflect standards (LnΓ, where n is the number of offset-reflect standards and n ≥ 3). The reflection coefficient of the highly reflecting offset-reflect standards and the propagation constant of the transmission line are unknown for this calibration method, but they can be obtained in the process of calculating the VNA calibration error coefficients. In the LnΓ calibration method, the calibration fixtures are all equal in mechanical length. Therefore, compared with the thru-reflect-line (TRL) method, this calibration method is convenient when the test fixtures of both sides of the VNA are fixed or difficult to move during the measurement. To further simplify the experimental operation, a corrugated reflector is also designed. In this calibration method, only one corrugated reflector used as the offset-reflect standard is needed. Different offset-reflect standards are realized easily by changing the position on the microstrip line. The proposed LnΓ calibration method is accurate, which is proven by theoretical analysis, simulations, and measurements.
Rhizomatic Healthcare: The Digital Transformation of France’s Medical Landscape
Authors: Wagner Anne
Published: March 2024

This paper explores the implications of the digital advancements on patient empowerment and the role of healthcare professionals. It examines the challenges and opportunities presented by this digital shift, including data privacy concerns, the need for continuous technological adaptation, and the potential for increased healthcare accessibility. The paper underscores the critical importance of legal and ethical considerations in shaping a sustainable and equitable digital healthcare landscape. Through this exploration, the paper aims to provide a comprehensive overview of the ongoing digital revolution in French healthcare and its broader implications for the global healthcare sector.
Maternal separation influences hepatic drug-metabolizing CYP450 gene expression without pathological changes in adult mice
Authors: Jarrar Yazun Bashir , Ashour Walaa’ , Madani Abdalla , Jarrar Qais , Abulebdah Dina , Jamous Yahya F. , Labban Samah Y. , Tazkarji Mariam
Published: March 2024

Objectives

The principal motive of this study is to explore the influence maternal separation (MS) exhibits on the mRNA expression of major drug metabolizing-cyp450s in parallel with the assessment of pathological changes that can be induced by MS in the livers of experimental mice.

Methods

Eighteen Balb/c mouse pups, comprising of both males and females, were separated from their mothers after birth. Following a six-week period during when the pups became adults, the mice were sacrificed and their livers were isolated for analysis of weight, pathohistological alterations, and the mRNA expression of drug metabolizing cyp450 genes: cyp1a1, cyp3a11, cyp2d9, and cyp2c29.

Results

The study demonstrated that MS markedly downregulated (p<0.05) the mRNA expression of all tested drug-metabolizing cyp450s in livers of female and male mice. Furthermore, the mRNA levels of major drug-metabolizing cyp450s were notably lower (p<0.05) in livers of female MS mice as compared with male MS mice. It was found that values of the total body weight and liver weight of MS mice did not vary significantly (p>0.05) from those of the control groups. Additionally, histological examination revealed that the hepatic tissue of MS mice was normal, similar to that of the control mice.

Conclusions

In summary, MS downregulates the gene expression of major hepatic drug-metabolizing cyp450s without inducing pathological alterations in the livers of mice. These findings provide an explanation for the heterogeneity in pharmacokinetics and drug response of patients with early life stress.
Subjective transformation in poeticized language and the formation of poeticness
Authors: Yang Hui
Published: March 2024

As one locus of extraordinary collocations, poeticized language features expressions that depart from the physical reality, involving the subjective transformation of objects in the mental space. Increasing subjectivity renders extraordinary collocations resistant to rational readings, resulting in two types of constructions: “innovative” collocations and “self-created” collocations. The meaning construction in the former is easier to achieve than in the latter; the former entails the “rational evaluation” and the latter the “speculative evaluation” processes in metalanguage. With its rule-breaking defiance caused by meaning obscurity compensated for by rich implied meaning and positive aesthetic feedback, the “self-created” collocations are regarded as poetic and re-accepted by the system. Therefore, the so-termed “poeticness” is derived from the positive feedback during the speculative evaluation process and constitutes the main substance of aesthetic interpretation.
Downregulation of lncRNA XLOC_032768 in diabetic patients predicts the occurrence of diabetic nephropathy
Authors: Li Baohua , Wu ZhiLe , Xu Haofeng , Ye HuiLing , Yang Xin
Published: March 2024

LncRNA XLOC_032768 is reported to prevent renal tubular epithelial cells from cisplatin-induced apoptosis, suggesting its involvement in the development of kidney injury. The present study aimed to explore the role of XLOC_032768 in diabetic nephropathy (DN). The present study enrolled a total of 140 healthy controls (Control group) and 140 patients with type 2 diabetes (Diabetes group). Expression of XLOC_032768 in plasma from these participants was analyzed by performing RT-qPCR. The 140 diabetic patients were followed up for 5 years to monitor the occurrence of diabetic complications. The role of XLOC_032768 in predicting the occurrence of diabetic complications, including DN, diabetic cardiomyopathy (DC), diabetic retinopathy (DR), and diabetic foot (DF) were analyzed by plotting receiver operating characteristic curves and complication-free curves. On the day of admission, plasma levels of XLOC_032768 were not significantly different between Control and Diabetes groups. During follow-up, a total of 22, 15, 13, and 15 cases were diagnosed as DN, DC, DR, and DF, respectively. On the day of diagnosis, plasma levels of XLOC_032768 were only decreased in DN group, but not in other groups, compared to plasma levels of XLOC_032768 on the day of admission. Using plasma levels of XLOC_032768 on the day of admission as a biomarker, potential DN patients were effectively separated from patients with other potential complications and diabetic patients without complications. The 140 diabetic patients were grouped into high and low XLOC_032768 level groups. It was observed that low XLOC_032768 level group showed increased occurrence of DN, but not other complications, compared to high XLOC_032768 level group. Therefore, the downregulation of lncRNA XLOC_032768 in diabetic patients may predict the occurrence of DN.
Menopausal transition alters female skeletal muscle transcriptome
Authors: Juppi Hanna-Kaarina , Korhonen Tia-Marje , Sievänen Tero , Kovanen Vuokko , Kujala Urho M. , Aukee Pauliina , Cronin Neil , Sipilä Sarianna , Karvinen Sira , Laakkonen Eija K.
Published: March 2024

Objectives

Although skeletal muscle is a target of hormonal regulation, the muscle transcriptome, including messenger-RNA (mRNA), long non-coding RNAs (lncRNAs), and microRNAs (miRNAs) has not previously been studied across the menopausal transition. Thus, we took a multi-RNA-omics approach to get insight into transcriptome-wide events of menopause.

Methods

We included baseline and follow-up muscle samples from seven early (EarlyMT) and 17 late perimenopausal (LateMT) women transitioning to early postmenopause during the study. Total RNA was sequenced and differential expression (DE) of the transcriptome was investigated. Gene functions were investigated with pathway analyses and protein level expression with Western Blot.

Results

We found 30 DE mRNA genes in EarlyMT and 19 in LateMT participating in pathways controlling cell death, growth, and interactions with the external environment. Lack of protein level changes may indicate a specific role of the regulatory RNAs during menopause. 10 DE lncRNA transcripts but no DE lncRNA genes were identified. No DE miRNAs were found. We identified putative regulatory networks likely to be affected by estradiol availability. Changes in gene expression were correlated with changes in body composition variables, indicating that muscularity and adiposity regulators are affected by menopausal transition. We also found correlations between gene expression and physical activity levels.

Conclusions

The observed DE genes and their regulatory networks offer novel mechanistic insights into factors affecting body composition during and after menopause. Our results imply that physiological deteriorations orchestrated by the muscle transcriptome likely depend on the magnitude of hormonal change and are influenced by physical activity.
Design of Human Posture Recognition System Based on Internet of Things Technology and Image Segmentation Algorithm
Authors: Zhao Xinbo , Ding Wei
Published: March 2024

To address the problem of the traditional human posture recognition system being easily affected by environmental factors such as noise, a human posture recognition system based on Internet of Things technology and an image segmentation algorithm was designed. To do this, we selected the attitude sensor, designed the attitude sensor structure based on micro electro mechanical system technology, and had a variety of selectable data output modes. A 36 V power supply was selected as the circuit design index to provide sufficient power for the system. The main control chip was designed, and its state information description and external output were installed in a single chip or the same component. The denoising process based on image segmentation algorithm was designed, the error correction model was constructed, the measured values were normalized, and the image segmentation model was constructed. We extracted the node features of human body posture, used the image segmentation algorithm to construct the structure diagram of human body posture nodes, located the local recognition area of the node structure map, and designed the human body posture recognition system. The experimental results show that the designed human gesture recognition system has better effect and better recognition performance.
Treatment of Benign Melanocytic Hyperplasia of Nail Apparatus with Dr. Hoon Hur’s Golden Parameter Therapy
Authors: Hur Hoon , Seong Joo Jae , Taik Shim Duck , Kim Yu Ri , Il Park Jong , Jin Choi Suk
Published: March 2024

Background: Benign melanocytic hyperplasia (BMH) of nail apparatus may be caused by a lentigine in the nail matrix. Traditional treatment modalities including surgical excision and CO2 laser ablation may cause a severe scar of nail apparatus.There is no clear treatment for BMH of nail apparatus. Objectives: This study was performed to investigate the efficacy and safety of Dr. Hoon Hur’s Golden Paramter Therapy (GPT) with a high fluence 1064nm Q-switched Nd:YAG laser (QSNL) for treating BMH of nail apparatus . Study design: The medical records of 52 Korean patients (age range: 21 to 60 year-old, mean age: 38.6 year-old) diagnosed with BMH of nail apparatus were reviewed retrospectively. Methods: All patients were treated with a 1064nm QSNL, on a weekly basis for 10-15 treatment sessions of Dr. HoonHur’s GPT. The parameters were a spot size of 7mm, a fluence of 2.2J/cm² and a pulse rate of 10Hz with three passes by a sliding technique (sliding GPT) and one pass by a pulse stacking technique (pulse-stacking GPT) over the BMH of nail apparatus. Results: At the time of the final treatment, all patients with BMH showed the complete removal of pigmented lesions without any side effects, such as purpura, crust, post-inflammatory hyperpigmentation (PIH), nail dystrophy and scarring. No recurrences were observed in any of the patients after a follow-up of 3-12 months. Conclusion: We suggest that Dr. Hoon Hur’s GPT with a high fluence 1064nm QSNL is a safe and effective new treatment for BMH of nail apparatus without side effects and recurrences. Keywords: Benign Melanocytic Hyperplasia; Nail;1064-nm ND:YAG laser;Dr. Hoon Hur’s GPT
Skin Reinnervation by Collateral Sprouting Following Spared Nerve Injury in Mice
Authors: Jeon Sang-Min , Pradeep Aishwarya , Chang Dennis , McDonough Leah , Chen Yijia , Latremoliere Alban , Crawford LaTasha K. , Caterina Michael J.
Published: March 2024

Following peripheral nerve injury, denervated tissues can be reinnervated via regeneration of injured neurons or collateral sprouting of neighboring uninjured afferents into denervated territory. While there has been substantial focus on mechanisms underlying regeneration, collateral sprouting has received less attention. Here, we used immunohistochemistry and genetic neuronal labeling to define the subtype specificity of sprouting-mediated reinnervation of plantar hindpaw skin in the mouse spared nerve injury (SNI) model, in which productive regeneration cannot occur. Following initial loss of cutaneous afferents in the tibial nerve territory, we observed progressive centripetal reinnervation by multiple subtypes of neighboring uninjured fibers into denervated glabrous and hairy plantar skin of male mice. In addition to dermal reinnervation, CGRP-expressing peptidergic fibers slowly but continuously repopulated denervated epidermis, Interestingly, GFRα2-expressing nonpeptidergic fibers exhibited a transient burst of epidermal reinnervation, followed by a trend towards regression. Presumptive sympathetic nerve fibers also sprouted into denervated territory, as did a population of myelinated TrkC lineage fibers, though the latter did so inefficiently. Conversely, rapidly adapting Aβ fiber and C fiber low threshold mechanoreceptor (LTMR) subtypes failed to exhibit convincing sprouting up to 8 weeks after nerve injury in males or females. Optogenetics and behavioral assays in male mice further demonstrated the functionality of collaterally sprouted fibers in hairy plantar skin with restoration of punctate mechanosensation without hypersensitivity. Our findings advance understanding of differential collateral sprouting among sensory neuron subpopulations and may guide strategies to promote the progression of sensory recovery or limit maladaptive sensory phenomena after peripheral nerve injury.
Debt-Based Trade, Social Norms, and Informality in Uzbekistan
Authors: Sobirov Elmurod , Urinboyev Rustamjon
Published: March 2024

Debt-based trade and economic exchanges are becoming more and more widespread in the context of post-Soviet Central Asian societies. In the absence of viable state economic support, a functional banking system, and an effective legal system, trust-based economic exchanges serve as an alternative means for conducting micro-level businesses in Central Asia. The phenomenon of “rassiychilar,” which is the central focus of this article, is one of the intriguing examples of debt-based trade in rural Fergana, Uzbekistan. This debt-based trade involves a myriad of informal economic exchanges among various actors, locally and transnationally. The article argues that trust-based economic networks and debt-based trade serve as an alternative means of doing business in rural post-socialist contexts characterized by legal uncertainty, rampant corruption, and an inefficient economic and banking system.
Karst landforms as microrefugia for soil Collembola: Open versus forested dolines
Authors: Marcin Michal , Raschmanová Natália , Miklisová Dana , Šupinský Jozef , Kaňuk Ján , Kováč L’ubomír
Published: March 2024

Enclosed surficial karst dolines are geomorphologically diverse habitats with the potential to strongly shape community structure and the distribution of functional groups of organisms. Forest habitats in karst landscapes are characterized by lower soil temperatures and microclimatic fluctuations compared to open habitats; therefore, they may provide favorable conditions for cold-adapted/psychrophilic species, which are highly vulnerable to climate warming. We compared the diversity and structure of soil Collembola communities at sites along microclimatic gradients in open and forested karst dolines. The effect of topography and related environmental conditions on the distribution of ecological groups of soil Collembola was analyzed, and the function of the dolines as potential climate refugia for psychrophilic arthropods was assessed. The karst dolines revealed significant habitat heterogeneity, including warm plateaus and S-facing slopes and colder and wetter bottoms and N-facing slopes. The inner sites of the dolines had an overall higher abundance and species richness compared to the plateau sites. Nonmetric multidimensional scaling ordination revealed a clear delimitation of Collembola communities in terms of warmer and cooler sites in the open dolines, while the forested dolines did not reveal such a clear pattern. The studied dolines showed a potential to serve as microrefugia in the context of global climate change. Dolines could support the long-term persistence of at least some species such as cold-adapted species. Karst dolines in the temperate zone play a key role in maintaining biodiversity; therefore, they should be central in biodiversity conservation programs.
Alemtuzumab-induced thyroid eye disease successfully treated with a single low-dose of rituximab
Authors: Muller Ilaria , Maioli Sara , Armenti Mirco , Porcaro Laura , Currò Nicola , Iofrida Elisabetta , Pignataro Lorenzo , Manso Jacopo , Mian Caterina , Geginat Jens , Salvi Mario
Published: March 2024

BACKGROUND

Secondary thyroid autoimmunity, especially Graves’ disease (GD), frequently develops in patients with multiple sclerosis (MS) following alemtuzumab treatment (ALTZ; anti-CD52). Thyroid Eye Disease (TED) can also develop, and rituximab (RTX; anti-CD20) is a suitable treatment.

METHODS

Immunophenotyping of blood and thyroid-derived lymphocytes in a patient treated with both ALTZ and RTX.

RESULTS

A 37-year-old woman with MS developed steroid-resistant active moderate-to-severe TED three years after ALTZ, that successfully responded to a single 500 mg dose of i.v. RTX. Before RTX peripheral B-cells were low, and were totally depleted immediately after therapy. Follow-up analysis four years post-ALTZ and one year post-RTX, showed persistent depletion of B cells, and relative reduction of T regulatory cells in both peripheral blood and thyroid tissue obtained at thyroidectomy.

CONCLUSIONS

RTX therapy successfully inactivated TED in a patient with low B-cell count derived from previous ALTZ treatment. B-cell depletion in both thyroid and peripheral blood was still present one year after RTX, as a likely cumulative effect of both treatments.