bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient lattice-based revocable attribute-based encryption against decryption key exposure for cloud file sharing
Authors: Huang Boxue , Gao Juntao , Li Xuelian 
Published: March 2023

AbstractCloud file sharing (CFS) has become one of the important tools for enterprises to reduce technology operating costs and improve their competitiveness. Due to the untrustworthy cloud service provider, access control and security issues for sensitive data have been key problems to be addressed. Current solutions to these issues are largely related to the traditional public key cryptography, access control encryption or attribute-based encryption based on the bilinear mapping. The rapid technological advances in quantum algorithms and quantum computers make us consider the transition from the tradtional cryptographic primitives to the post-quantum counterparts. In response to these problems, we propose a lattice-based Ciphertext-Policy Attribute-Based Encryption(CP-ABE) scheme, which is designed based on the ring learing with error problem, so it is more efficient than that designed based on the learing with error problem. In our scheme, the indirect revocation and binary tree-based data structure are introduced to achieve efficient user revocation and dynamic management of user groups. At the same time, in order to further improve the efficiency of the scheme and realize file sharing across enterprises, the scheme also allows multiple authorities to jointly set up system parameters and manage distribute keys. Furthermore, by re-randomizing the user’s private key and update key, we achieve decryption key exposure resistance(DKER) in the scheme. We provide a formal security model and a series of security experiments, which show that our scheme is secure under chosen-plaintext attacks. Experimental simulations and evaluation analyses demonstrate the high efficiency and practicality of our scheme.
Securing medical image privacy in cloud using deep learning network
Authors: S Gayathri , S Gowri 
Published: March 2023

AbstractThe worldwide usage of Internet of Things (IoT) applications enhanced the utilization of consumer devices, such as smartphones, computers, screening equipment used in hospitals that merely rely on imaging techniques. Numerous images got generated over the cloud platform in a daily basis ad create storage complexity. On the other hand, securing the data stored in the cloud is important. Instead of storing large amount of data into the cloud, lightweight dynamic processing of data suppresses the complex issues in cloud security. Here secure cloud-based image processing architecture is discussed. Privacy preserving medical data communication is considered as the specific research scope. Cryptographic technique used to encode the original data and decode the data at the other end is currently in usage as conventional design. Providing privacy to the medical records through adding noise and denoising the same records is the proposed idea. The proposed work is keenly focused on creating a light weight cloud architecture that communicates the medical data effectively with privacy perseverance using deep learning technique. In the proposed system, the design of an efficient image denoising scheme with a hybrid classification model is created to ensure reliable and secure communication. Deep learning algorithms merged to form a Pseudo-Predictive Deep Denoising Network (PPDD). The proposed system's benefit is ensuring added security in Dark Cloud using a newly structured algorithm. The original data is packed in the Deep cloud using the Gaussian noise act as a key. The complete packing and unpacking of medical data is encapsulated by the transformed images. Over the cloud premise, the data is highly secured and invisible to the malicious users. To reduce the storage complexity, the dynamic data is unpacked and denoise process is applied at the edge devices. During the authorized access period alone, the data is decrypted and accessible at the edge nodes. The maximum process is dynamically happen in the cloud without depending on the storage boundary. The performance of proposed PPDD network model is evaluated through Signal to noise ratio (SNR), Similarity index (SI),Error Rate(ER) and Contrast to noise ratio(CNR). The proposed architecture is comparatively validated with existing state-of-art approach.
Data transmission reduction formalization for cloud offloading-based IoT systems
Authors: Elouali Aya , Mora Mora Higinio , Mora-Gimeno Francisco José 
Published: March 2023

AbstractComputation offloading is the solution for IoT devices of limited resources and high-cost processing requirements. However, the network related issues such as latency and bandwidth consumption need to be considered. Data transmission reduction is one of the solutions aiming to solve network related problems by reducing the amount of data transmitted. In this paper, we propose a generalized formal data transmission reduction model independent of the system and the data type. This formalization is based on two main ideas: 1) Not sending data until a significant change occurs, 2) Sending a lighter size entity permitting the cloud to deduct the data captured by the IoT device without actually receiving it. This paper includes the mathematical representation of the model, general evaluation metrics formulas as well as detailed projections on real world use cases.
Feasibility, safety, and acceptability of intranasal heroin-assisted treatment in Switzerland: protocol for a prospective multicentre observational cohort study
Authors: Westenberg Jean N. , Meyer Maximilian , Strasser Johannes , Krausz Michael , Dürsteler Kenneth M. , Falcato Luis , Vogel Marc 
Published: March 2023

Abstract
Background
Heroin-assisted treatment (HAT) is a proven effective treatment option for individuals with severe opioid use disorder (OUD). In Switzerland, pharmaceutical heroin (diacetylmorphine, DAM) is available in tablet form or as injectable liquid. This creates a large barrier for individuals who require the rapid onset of effect but are either unable or do not want to inject, or who primarily snort opioids. Early experimental data has demonstrated that intranasal DAM administration can be a viable alternative to the intravenous or intramuscular route of administration. The purpose of this study is to assess the feasibility, safety, and acceptability of intranasal HAT.

Methods
This study will assess intranasal DAM using a prospective multicentre observational cohort study design in HAT clinics across Switzerland. Patients will be offered to switch from oral or injectable DAM to intranasal DAM. Participants will be followed-up over 3 years, with assessments at baseline, and after 4, 52, 104 and 156 weeks. The primary outcome measure (POM) is retention in treatment. Secondary outcomes (SOM) include prescriptions and routes of administration of other opioid agonists, illicit substance use, risk behaviour, delinquency, health and social functioning, treatment adherence, opioid craving, satisfaction, subjective effects, quality of life, physical health, and mental health.

Conclusions
The results derived from this study will generate the first major body of clinical evidence on the safety, acceptability, and feasibility of intranasal HAT. If proven to be safe, feasible and acceptable, this study would increase the accessibility of intranasal OAT for individuals with OUD globally as a critical improvement in risk reduction.
A systematic review of substance use screening in outpatient behavioral health settings
Authors: Woodward Diana , Wilens Timothy E. , Glantz Meyer , Rao Vinod , Burke Colin , Yule Amy M. 
Published: March 2023

Abstract
Objective
Despite the frequent comorbidity of substance use disorders (SUDs) and psychiatric disorders, it remains unclear if screening for substance use in behavioral health clinics is a common practice. The aim of this review is to examine what is known about systematic screening for substance use in outpatient behavioral health clinics.

Methods
We conducted a PRISMA-based systematic literature search assessing substance use screening in outpatient adult and pediatric behavioral health settings in PubMed, Embase, and PsycINFO. Quantitative studies published in English before May 22, 2020 that reported the percentage of patients who completed screening were included.

Results
Only eight articles met our inclusion and exclusion criteria. Reported prevalence of screening ranged from 48 to 100%, with half of the studies successfully screening more than 75% of their patient population. There were limited data on patient demographics for individuals who were and were not screened (e.g., gender, race) and screening practices (e.g., electronic versus paper/pencil administration).

Conclusions
The results of this systematic review suggest that successful screening for substance use in behavioral health settings is possible, yet it remains unclear how frequently screening occurs. Given the high rates of comorbid SUD and psychopathology, future research is necessary regarding patient and clinic-level variables that may impact the successful implementation of substance use screening.
Trial registry A methodological protocol was registered with the PROSPERO systematic review protocol registry (ID: CRD42020188645).
“Just fighting for my life to stay alive”: a qualitative investigation of barriers and facilitators to community re-entry among people with opioid use disorder and incarceration histories
Authors: Hoffman Kim A. , Thompson Emma , Gaeta Gazzola Marina , Oberleitner Lindsay M. S. , Eller Anthony , Madden Lynn M. , Marcus Ruthanne , Oberleitner David E. , Beitel Mark , Barry Declan T. 
Published: March 2023

Abstract
Background
During the period of community re-entry immediately following release from jail or prison, individuals with opioid use disorder (OUD) face structural barriers to successful re-entry and high risk of overdose. Few published studies investigate experiences in the immediate period (i.e., first 24 h) of re-entry among people with OUD.

Aim
To understand the barriers and facilitators to treatment and reintegration of people with OUD during the initial transition from carceral settings back into the community.

Methods
From January–December 2017, we conducted 42 semi-structured qualitative interviews with patients with a history of incarceration who were receiving methadone at a not-for-profit, low-barrier opioid treatment program. Interviews probed participants’ community re-entry experiences immediately following incarceration. Interviews were transcribed and analyzed using a Thematic Analysis approach.

Results
The main themes described the experiences during the 24 h following release, reacclimating and navigating re-entry barriers, and re-entry preparedness and planning. Participants noted the initial 24 h to be a period of risk for returning to substance use or an opportunity to engage with OUD treatment as well as a tenuous period where many lacked basic resources such as shelter or money. When discussing the subsequent re-entry period, participants noted social challenges and persistent barriers to stable housing and employment. Participants overall described feeling unprepared for release and suggested improvements including formal transition programs, improved education, and support to combat the risk of overdose and return to substance use after incarceration.

Conclusions
In this study that qualitatively examines the experiences of people with incarceration histories and OUD enrolled in methadone treatment, we found that participants faced many barriers to community re-entry, particularly surrounding basic resources and treatment engagement. Participants reported feeling unprepared for release but made concrete suggestions for interventions that might improve the barriers they encountered. Future work should examine the incorporation of these perspectives of people with lived experience into the development of transition programs or re-entry classes.
Targeted treatment of T-cell acute lymphoblastic leukemia: latest updates from the 2022 ASH Annual Meeting
Authors: Xu Jieyu , Zhu Hong-Hu 
Published: March 2023

AbstractT-cell acute lymphoblastic leukemia (T-ALL) occurs in approximately 25–30% of adult ALL. Currently, treatment approaches for adult patients with T-ALL remain quite limited, with intensive multiagent chemotherapy serving as the backbone; however, the cure rate remains unsatisfactory. Thus, the discovery of novel therapeutic strategies, especially targeted therapies, is crucial. Clinical research efforts are now focused on adding targeted therapy that has selective activity for T-ALL to the backbone chemotherapy regimen. To date, nelarabine remains the only targeted agent specifically approved for relapsed T-ALL, and the use of nelarabine in the first-line regimen is still being studied. Meanwhile, a number of novel targeted therapies with low toxicity, such as immunotherapies, are being actively investigated. Chimeric antigen receptor (CAR) T-cell therapy for the treatment of T-cell malignancies has not been as successful as in treating B-ALL due to fratricide. Numerous approaches are now being designed to address this challenge. Novel therapies targeting molecular aberrations in T-ALL are also actively investigated. T-ALL lymphoblasts overexpress BCL2 protein, which makes it an intriguing therapeutic target. This review summarizes the latest updates on targeted treatment of T-ALL from the 2022 ASH annual meeting.
In-depth study of tomato and weed viromes reveals undiscovered plant virus diversity in an agroecosystem
Authors: Rivarez Mark Paul Selda , Pecman Anja , Bačnik Katarina , Maksimović Olivera , Vučurović Ana , Seljak Gabrijel , Mehle Nataša , Gutiérrez-Aguirre Ion , Ravnikar Maja , Kutnjak Denis 
Published: March 2023

Abstract
Background
In agroecosystems, viruses are well known to influence crop health and some cause phytosanitary and economic problems, but their diversity in non-crop plants and role outside the disease perspective is less known. Extensive virome explorations that include both crop and diverse weed plants are therefore needed to better understand roles of viruses in agroecosystems. Such unbiased exploration is available through viromics, which could generate biological and ecological insights from immense high-throughput sequencing (HTS) data.

Results
Here, we implemented HTS-based viromics to explore viral diversity in tomatoes and weeds in farming areas at a nation-wide scale. We detected 125 viruses, including 79 novel species, wherein 65 were found exclusively in weeds. This spanned 21 higher-level plant virus taxa dominated by Potyviridae, Rhabdoviridae, and Tombusviridae, and four non-plant virus families. We detected viruses of non-plant hosts and viroid-like sequences and demonstrated infectivity of a novel tobamovirus in plants of Solanaceae family. Diversities of predominant tomato viruses were variable, in some cases, comparable to that of global isolates of the same species. We phylogenetically classified novel viruses and showed links between a subgroup of phylogenetically related rhabdoviruses to their taxonomically related host plants. Ten classified viruses detected in tomatoes were also detected in weeds, which might indicate possible role of weeds as their reservoirs and that these viruses could be exchanged between the two compartments.

Conclusions
We showed that even in relatively well studied agroecosystems, such as tomato farms, a large part of very diverse plant viromes can still be unknown and is mostly present in understudied non-crop plants. The overlapping presence of viruses in tomatoes and weeds implicate possible presence of virus reservoir and possible exchange between the weed and crop compartments, which may influence weed management decisions. The observed variability and widespread presence of predominant tomato viruses and the infectivity of a novel tobamovirus in solanaceous plants, provided foundation for further investigation of virus disease dynamics and their effect on tomato health. The extensive insights we generated from such in-depth agroecosystem virome exploration will be valuable in anticipating possible emergences of plant virus diseases and would serve as baseline for further post-discovery characterization studies.
Induced secondary metabolites of the beneficial fungus Trichoderma harzianum M10 through OSMAC approach
Authors: Staropoli Alessia , Iacomino Giuseppina , De Cicco Paola , Woo Sheridan L. , Di Costanzo Luigi , Vinale Francesco 
Published: March 2023

Abstract
Background
Fungi biosynthesize a wide range of chemically diverse secondary metabolites during processes of competition with other micro- and macro-organisms, symbiosis, parasitism, or pathogenesis. Some of these natural compounds have antibiotic properties, which allow the microbe to inhibit and/or kill their microbial competitors.

Results
In the course of an ongoing search for novel bioactive metabolites from Trichoderma harzianum M10 using OSMAC (One Strain MAny Compounds) strategy, a bioactive chromone derivative has been isolated. The 5-hydroxy-2,3-dimethyl-7-methoxychromone (1), purified for the first time from T. harzianum M10 and induced in specific medium (potato dextrose broth, PDB) and condition (light and shaking), has been obtained as pure crystals and its structure has been fully characterized using X-ray and spectroscopic methods. This metabolite revealed a significant antibiotic activity against Rhizoctonia solani (45% of growth inhibition after 24 h of incubation at a concentration of 100 ng plug−1) and significantly reduced the viability of colorectal human cancer cells in a concentration-dependent manner. Moreover, metabolomic analysis allowed the identification of compounds modulated by the cultivating conditions. Among the statistically different molecules detected it was possible to identify siderophores, such as ferricrocin and coprogen B, harzianic acid (and its derivatives), and butenolides.

Conclusion
OSMAC strategy represents a valuable approach to overcome the limitations of experiments performed under laboratory conditions. Indeed, it is possible to modulate metabolites production by changing medium and conditions applied to the cultures. A specific set of conditions induced the production of a secondary metabolite never isolated from T. harzianum M10. The compound, a methoxychromone derivative, characterized by X-ray diffraction, mass spectrometry, IR, and NMR, displayed antimicrobial and antitumor activities.

Graphical Abstract
Inflight calibration of the optical navigation camera for the extended mission phase of Hayabusa2
Authors: Yamada Manabu , Kouyama Toru , Yumoto Koki , Tatsumi Eri , Takaki Naofumi , Yokota Yasuhiro , Morota Tomokatsu , Sakatani Naoya , Hayakawa Masahiko , Matsuoka Moe , Honda Rie , Honda Chikatoshi , Kameda Shingo , Suzuki Hidehiko , Cho Yuichiro , Yoshioka Kazuo , Ogawa Kazunori , Shirai Kei , Sawada Hirotaka , Sugita Seiji 
Published: March 2023

AbstractAfter delivering its sample capsule to Earth, the Hayabusa2 spacecraft started its extended mission to perform a flyby of asteroid 2001 CC21 in 2026 and rendezvous with asteroid 1998 KY26 in 2031. During the extended mission, the optical navigation camera (ONC) of Hayabusa2 will play an important role in navigation and science observations, but it has suffered from optical deterioration after the spacecraft’s surface contact with and sampling of asteroid Ryugu. Furthermore, the sensitivity of the telescopic camera (ONC-T) has continued to decrease for more than a year, posing a serious problem for the extended mission. These are problems that could potentially be encountered by other sample-return missions involving surface contact. In this study, we evaluated the long-term variation of ONC performance over the 6.5 years following the launch in 2014 to predict how it will perform during observations of the two target asteroids in its extended mission (6 and 11 years from the Earth return, respectively). Our results showed several important long-term trends in ONC performance, such as transmission, dark noise level, and hot pixels. During the long cruising period of the extended mission, we plan to observe both zodiacal light and exoplanet transits as additional science targets. The accuracy of these observations is sensitive to background noise level and stray-light contamination, so we conducted new test observations to search for the lowest stray light, which has been found to depend on spacecraft attitude. The results of these analyses and new test observations suggest that the Hayabusa2 ONC will be able to conduct cruising, flyby, and rendezvous observations of asteroids with sufficient accuracy.
Graphical Abstract
Submarine paleoseismology in the Japan Trench of northeastern Japan: turbidite stratigraphy and sedimentology using paleomagnetic and rock magnetic analyses
Authors: Kanamatsu Toshiya , Ikehara Ken , Hsiung Kan-Hsi 
Published: March 2023

AbstractPrevious studies of sediments recovered from the Japan Trench between 37° 25′ N and 38° 30′ N document distinctive turbidite beds induced by huge earthquakes. We studied two sediment cores at 39°N to investigate the depositional record further north along the Japan Trench. These investigations spatially extend our knowledge of the depositional record of earthquakes in the Japan Trench. We examined specifically the precise stratigraphy of turbidite beds using paleomagnetic secular variation, and a tephra correlation. Additionally, anisotropy of magnetic susceptibility (AMS) was investigated to understand the depositional conditions of each turbidite bed. The inferred ages of turbidite beds in this study closely approximate their previously reported ages, which are correlated with the historical and prehistorical huge earthquakes off Tohoku, northeastern Japan. The paleo current directions during deposition of turbidite are inferred from their grain alignment based on AMS data. The directions of basal part reveal northeastward in the slope-side basin and north-northeast in oceanward basin. The directions of basal and upper thick muddy part of a turbidite bed are not always consistent, which suggests the hydraulic condition in the narrow elongated deep-sea basin. This fact could be essential information to elucidate a unique hydraulic condition during the turbidite deposition in the confined basin in the Japan Trench.